Department of Anatomy and Neurobiology, School of Medicine, University of Maryland at Baltimore, 685 West Baltimore Street, Baltimore, MD 21201-1509, USA
Birgit Roerig, Department of Anatomy and Neurobiology, School of Medicine, University of Maryland at Baltimore, 685 West Baltimore Street, Baltimore, MD 21201-1509, USA. Email: broer001{at}umaryland.edu.
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Abstract |
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Introduction |
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Each class of models makes different predictions regarding the tuning of local excitatory and inhibitory connections converging onto individual neurons. In vivo experiments investigating this issue have yielded conflicting results. Several investigations have demonstrated that both excitatory and inhibitory inputs are strongest at the preferred orientation of the postsynaptic neuron (Blakemore and Tobin, 1972; Nelson and Frost, 1978
; Ferster, 1986
, 1988
; Nelson, 1991
). Other studies, however, indicate the presence of inhibitory inputs tuned to cross-orientations (Sillito, 1975
; Sillito et al., 1980
; Morrone et al., 1982
; Crook and Eysel, 1992
; Pei et al., 1994
). Thus, the orientation tuning of intracortical inhibition as compared to excitation remains controversial.
To help distinguish between current hypotheses, we combined in vivo optical imaging of orientation preference maps with in vitro scanning photostimulation of intracortical synaptic inputs (Roerig and Katz, 1998; Roerig and Kao, 1999
) to determine the relative orientations of monosynaptic inhibitory and excitatory inputs to individual cortical neurons. We find that intracortical excitatory and inhibitory inputs to both layer 2/3 and deep layer pyramidal neurons preferentially originate from iso-orientation domains. However, the input tuning histograms for inhibitory inputs are significantly broader than the tuning histograms for excitatory inputs. The relationship between excitatory and inhibitory synaptic connectivity patterns is thus consistent with recurrent models of orientation selectivity, but does not support cross-orientation models.
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Materials and Methods |
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Cells were dialyzed with an internal solution containing 12 mM Cl-, which sets the chloride reversal potential around 37 mV. Inhibitory and excitatory synaptic inputs were distinguished by shifting the holding potential from 60 to 20 mV (Katz and Dalva, 1994). Postsynaptic cells were filled with biocytin and cell types were identified based on the morphology of the dendritic tree and axonal projection patterns. All recordings included in this study were from pyramidal cells.
Optical Imaging of Orientation Preference Maps
Juvenile ferrets (P37-P48, Marshall Farms, New Rose, NY) were anesthetized with a mixture of Nembutal (40 mg/kg, i.m.) and xylazine hydrochloride (2 mg/kg, i.m.). To prevent occlusion of the trachea, 0.05 mg/kg atropine were injected s.c. Animals were intubated and ventilated with a mixture of 2:1 N2O/O2 and 1.52 % halothane during surgery. A craniotomy (8 x 12 mm) was made covering area 17 and adjacent parts of area 18. The dura was removed and a stainless steel chamber was mounted on the skull, filled with saline and sealed with a coverglass. During recording sessions animals were paralysed with pancuronium bromide (2 mg/kg, i.p.) to prevent eye movements and anesthesia was kept at 1:1 N2O/O2 and 0.5 % halothane. Expired CO2 was kept at 45 %. Pupils were dilated with 2% atropine and corneas protected with zero power contact lenses. Visual stimulation was provided monocularly through the contralateral eye. Images were acquired and amplified using an enhanced video acquisition system (Optical Imaging Inc., New York). The cortex was illuminated with red light (620 nm) and a 50 x 50 tandem lens combination; a CCD camera (Pentax) was used for imaging. The total size of the imaged region was 6.5 x 8 mm. Visual stimuli were presented at a distance of 30 cm. For imaging orientation domains, a high-contrast bar grating pattern was used (1.2° bar width, 6° bar spacing, 18°/s drift). Four pairs of orientations (0/90, 45/135, 22/112 and 67/157°) were imaged per animal. Forty trials were averaged per angle pair and the acquisition time per trial was 15 s. To enhance the signal-to-noise ratio, differential images were computed by subtraction of the responses to orthogonal orientations. Images were divided by a baseline image of the unstimulated cortex (blank) to correct for uneven illumination. The eight differential images were vector-summed to produce an angle map of orientation preference (Bonhoeffer and Grinvald, 1993).
Extracellular Single Unit Recording
Since most of the optically recorded signal is generated by neurons in layers 2/3 and 4 we controlled for consistency of orientation tuning in a cortical column using extracellular single unit recordings at different depths during penetrations made perpendicular to the cortical surface. To this end, the coverglass sealing the recording chamber was removed, the saline drained and the cortical surface was protected by a sheet of 50 µm thick silicone. Extracellular recording electrodes (1618 MO, FHC, Brunswick, ME) were advanced through a hole in the silicone. Cortical pulsation was reduced by agar (24 %) applied over the silicone sheet. The visual stimulus was a single high-contrast bar (1.2° bar width, 40° length) drifting at 18 deg/s. Extracellular spike activity was recorded for nine different stimulus orientations and two opposite directions per orientation. Eight trials were averaged per direction of motion. Recording and wave-form discrimination were done using SPIKE2 software (Cambden Elektronic Design, Cambridge, UK). To determine orientation tuning curves, the peak discharge rate at each direction of motion was determined during a 1.01.5 s period as the stimulus crossed the central region of the receptive field. Background spontaneous activity was subtracted.
Following optical recording four to six small injections of either florescein or rhodamine conjugated latex microspheres (200300 nl) were made in the imaged area using glass pipettes and a Picospritzer (General Valve, Fairfield, NJ). To facilitate alignment, the reference injections were made close to blood vessel branch points or into orientation domains. Following the injections the animal was deeply anesthetized with Nembutal (100 mg/kg) and the lateral gyrus containing areas 17 and 18 was completely removed.
Slice Preparation
The block of tissue removed from the animal was placed in chilled artificial cerebrospinal fluid (sucrose-ACSF, composition: 248 mM sucrose, 5 mM KCl, 5.3 mM KH2PO4, 1.3 mM MgSO4, 3.2 mM CaCl2, 10 mM dextrose, 25 mM NaHCO3, 1 mM kynurenic acid), oxygenated with a mixture of 95% O2 and 5% CO2, pH 7.4. Tangential slices (400 µm thickness) of primary visual cortex were prepared using a vibratome (Ted Pella Inc., Redding, CA). Dissections were made in artificial cerebrospinal fluid, chilled to 4°C. Three to four slices of different cortical layers were obtained per imaged hemisphere. Slices were maintained in an interface chamber at a temperature of 33°C and in an atmosphere of 95% CO2/5% O2 as previously described (Durack and Katz, 1996). SucroseACSF was replaced with standard ACSF (composition: 125 mM NaCl, 5 mM KCl, 5.3 mM KH2PO4, 1.3 mM MgSO4, 3.2 mM CaCl2, 10 mM dextrose, 25 mM NaHCO3) after 1 h.
Photostimulation
Individual slices were transferred to a recording chamber mounted on the stage of an upright microscope (Zeiss Axioskop FS) and continuously superfused with ACSF at room temperature. Fluorescent bead marks were viewed using epifluorescence and either a rhodamine or fluorescein filter set (exciter G 546 nm, beam splitter FT 580, barrier LP 590 for rhodamine; 450490 excitation, FT 510 dichroic mirror, LP 520 barrier filter for fluorescein; Zeiss). Bead injections were visible in the living slices and could directly be used to guide positioning of patch pipettes. Slice overview images were taken using a Sony XC-75 CCD camera and a SNAPPY (Play) video frame acquisition module in conjunction with SNAPPY software. Electrophysiological recordings from single neurons were performed using standard whole-cell, patch-clamp methods. The intracellular solution consisted of 110 mM D-gluconic acid, 110 mM CsOH, 11 mM EGTA, 10 mM CsCl, 1 mM MgCl2, 1 mM CaCl2, 10 mM HEPES, 1.8 mM GTP, 3 mM ATP, pH 7.2, and contained 0.5% N-(2-amino-ethyl)biotinamide (Neurobiotin, Molecular Probes, Eugene, OR). Voltage clamp recordings were conducted using an Axopatch 1D amplifier (Axon Instruments, USA). The holding potential was either 60 or 20 mV. Recordings were filtered at 1 kHz and digitized at 8 kHz. Series resistances ranged from 11 to 17 M; a 3050% compensation was usually achieved using the amplifier adjustments. Presynaptic inputs were stimulated using the scanning laser photostimulation approach detailed previously (Katz and Dalva, 1994
). Slices were bathed in a 250 µM solution of
-CNB caged glutamate (Molecular Probes). An argon ion laser (Coherent Enterprise 261) was used as a UV light source for local uncaging. The laser beam was focused into the slice preparation (spot size ~15 µm) through a 40x 1.3 NA oil immersion objective (Plan-Neofluar, Zeiss). The objective was attached to a motorized XY stage and moved within an oil droplet below the quartz glass bottom of the recording chamber. Opening of the external shutter, scanning of the laser beam and data acquisition were controlled by a National Instruments AD board (AT-MIO/AI E-10) and custom-written software. (Labview, National Instruments). The flash duration was 5 ms and the interstimulus interval 35 s. The acquisition period was 1 s, with the shutter opening occurring after 500 ms. The prestimulus acquisition period served to monitor spontaneous synaptic activity. Cells with high frequencies of spontaneous activity (>20 Hz) were discarded to avoid contamination of the evoked signal. Photo-stimulation-evoked responses were analysed within the first 100 ms following uncaging. The spacing of stimulation sites was 50 or 100 µm. Typical maps consisted of 5002000 stimulation sites; sampling was done in four-pass mode, i.e. only every fourth spot was stimulated during one round and the map was filled in during four acquisition cycles. Maps were recorded at 20 mV to distinguish between inhibitory and excitatory inputs, at 60 mV to allow for a larger driving force for small excitatory events and in the presence of tetrodotoxin (TTX, 2 µM) to distinguish between dendritic direct activation and local synaptic inputs. Only one or two cells were recorded per slice to facilitate alignment and unambiguous assigning of input maps to postsynaptic cells.
Histology
Following recording, slices were fixed in 4% paraformaldehyde in phosphate buffered saline (PBS, pH 7.4) for subsequent histological processing of neurobiotin-filled cells. Slices were resectioned at 70 µm on a freezing microtome and labeled cells were visualized by standard immunoperoxidase staining techniques (Durack and Katz, 1996). No heavy metal intensification was performed in order to preserve the fluorescent alignment markers in the histological sections.
Alignment of Orientation Preference Maps and Synaptic Input Maps
Alignment of orientation maps obtained in vivo and photostimulation maps were guided by the fluorescent bead injections. The in vivo images, the video image of the living slice and the histological section were overlaid with the photostimulation map using the layer menu of Adobe Photoshop. The position of the stained postsynaptic cell in the histological section and the direct activation area in the photostimulation maps served as additional markers. No other transformations but linear scaling and rotation were used. To determine orientation and direction tuning differences between pre- and postsynaptic sites, functional maps recorded in vivo were aligned with the synaptic input map determined by photostimulation in vitro (Fig. 5). To this end, linear scaling and rotation was applied to the two images until the bead marks were at least 50% overlapping. The bead marks were 100200 µm in diameter, which resulted in a maximum alignment error of 75 µm. This corresponds to an orientation preference error of <10° (Weliky et al., 1995
), which is not critical for cells located in orientation domains, where orientation preference changes smoothly.
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Analysis
The analysis of photostimulation data was partially automated. Synaptic events were either completely manually analysed or manually selected and entered into a second Labview program. Sign, amplitude, latency and number of postsynaptic events within 100 ms following the laser flash were determined for each stimulation site. Plots of synaptic input patterns were generated using Transform (Fortner). Synaptic input maps were then superimposed on the orientation angle map using the layer menu of Adobe Photoshop. For each site giving rise to a synaptic input, as well as for the location of the postsynaptic cell, the orientation value was calculated as the mean of four pixels. In all figures the number of sites generating an excitatory or inhibitory input has been used, not the number of individual excitatory postsynaptic currents (EPSCs) or inhibitory postsynaptic currents (IPSCs) generated by one stimulation site.
The orientation difference between location of the postsynaptic cell and the site of origin of synaptic inputs was calculated for each event and the difference values were used to generate orientation tuning histograms. In addition, the distance between pre- and postsynaptic site was measured for each individual event. The assignment of location of origin of synaptic input to the corresponding location on the orientation map as well as the calculation of the tuning differences were not automated. Tuning deviation (0 ± 90°) can be in either direction; distributions shown were rectified unless otherwise stated. Events were binned into 10° categories. Data from all recorded neurons were pooled to generate the histograms shown in Figures 6 and 7.
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Results |
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In this study we have aligned optical imaging maps obtained in vivo with synaptic input maps obtained in vitro, in order to determine the orientation specificity of intracortical synaptic connections. The optical signal mainly derives from layers 2/3 and 4. To be able to align slices obtained from cortical layers 5/6 with the optical imaging map with confidence, it was necessary to control for constancy of orientation tuning during vertical penetrations. To this end, we have performed single unit recordings (n = 123) in four different animals. Single units were recorded in a total of 27 penetrations made perpendicular to the cortical surface (Fig. 1DF). Although we used rather young animals in this study, visual response properties as well as functional architecture as determined with optical imaging techniques are mature at this age range in the ferret (Weliky et al., 1997). Our single unit recordings also show sharp orientation tuning in layers 2/3 and 5/6 between P37 and P58. Although receptive field properties may still mature further past this period, the majority of intracortical circuits underlying these properties appear to be already established. The majority of neurons in all layers of ferret visual cortex, including layer 4, were orientation tuned and either direction tuned or direction biased. To assess the constancy of orientation tuning within a vertical column we have plotted the orientation tuning difference between adjacent recording sites (Fig. 1E
), as well as between the most superficial and the deepest recording site in each penetration (Fig. 1F
). Within a vertical penetration, orientation preference did not change considerably (Fig. 1E,F
). We therefore felt confident to align slices derived from the deep layers with the optical imaging map.
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Following photostimulation mapping, slices were fixed and processed for biocytin to reveal the position and morphology of recorded neurons. Using the microsphere injections as fiducial marks, the in vivo maps were aligned with the brain slice (see Materials and Methods for details). The putative orientation selectivity of recorded neurons and their excitatory and inhibitory inputs were determined by reference to the in vivo orientation map. For most data analysis, we calculated the absolute value of the difference between the recorded neuron's orientation preference and that of its individual synaptic inputs, a value that varied between 0° (iso-orientation inputs) and 90° (orthogonal inputs). The number and sign (inhibitory or excitatory) of these synaptic inputs were used to construct orientation histograms for excitatory and inhibitory inputs (see below).
Spatial Organization of Excitatory and Inhibitory Inputs
We recorded maps of excitatory and inhibitory inputs from a total of 36 cells in both layer 2/3 (n = 19) and layer 5/6 (n = 17). On average, the maps covered 1.5 mm2 and consisted of 8002400 stimulated sites. By recording at a holding potential of 20 mV, we could assess the relative contributions of excitatory and inhibitory inputs originating from the photostimulated sites. At a holding potential of 20 mV, excitatory inputs produced inward deflections of the current trace, while inhibitory inputs produced outward deflections (Fig. 2C). Close to the cell body, direct activation of glutamate receptors on neuronal dendrites led to large inward currents that persisted in the presence of TTX, which blocks action potential mediated activity. Because these large currents obscured the smaller synaptic inputs, we excluded the zone within 50 µm of the cell body from further analysis.
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Our study was mainly conducted to clarify which models of orientation selectivity are in line with the orientation specificity of intracortical synaptic connections. To determine the orientation specificity of intracortical synaptic inputs, we have aligned a map of locations of origin of synaptic inputs to individual cells with an orientation preference map of the scanned area obtained in vivo. Since the average size of orientation domains in ferret visual cortex is ~500 µm, a fraction of local inputs will inevitably originate from iso-orientation domains. All neurons included in this study were located within orientation domains., i.e. the iso-orientation tuning of their very local connections is also determined by their location on the map. We have recorded from three neurons located close to an orientation singularity. To reduce the heterogeneity of our sample we have excluded these cells from summary diagrams.
Both local and long-range (horizontal) excitatory connections were iso-orientation tuned in layers 2/3 and layers 5/6 (Fig. 6). Inhibitory inputs showed a broader tuning in both upper and lower layers (Figs 6C,F and 8
). The difference in tuning width of local excitatory and inhibitory inputs to cortical neurons is an important parameter in models designed to explain the contribution of intracortical synaptic inputs to the emergence of orientation tuning in the primary visual cortex (Somers, 1995). To address this, the percentages of EPSCs and IPSCs falling into each orientation difference category (010 to 8090° orientation tuning difference) have been calculated for each individual neuron and for the entire sample of layer 2/3 and layer 5/6 neurons (Fig. 6
).
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The efficacy of a synaptic input related to its impact on tuning properties is not only determined by its specificity, but also by its amplitude. To determine whether iso-orientation tuned inputs are also the strongest ones, we have plotted the average amplitude of EPSCs and IPSCs recorded from each neuron against the orientation tuning difference between pre- and post- synaptic cells. Summary histograms are shown in Figure 7. In most neurons the iso-orientation tuned inputs were also the strongest ones; however, the average amplitudes of long-range EPSCs and IPSCs in the upper layers tended to be more evenly distributed among orientation difference ranges than local EPSCs (Fig. 7
). We have also multiplied the event counts by the mean event amplitude in each tuning difference category for each neuron and applied a paired t-test to each category. Only events recorded within a 500 µm radius around the postsynaptic cell were included. This analysis revealed a statistically significant dominance of local excitation over inhibition in the tuning difference ranges of 010° and 1020° for both layer 2/3 (P < 0.002, n = 17, paired t-test) and layer 5/6 neurons (P < 0.001, n = 15). In the tuning difference range of 2030 and 3040°, inhibition was stronger than excitation (P < 0.001) in all layers. These results strongly support recurrent models of orientation selectivity (Somers, 1995; Sengpiel et al., 1997
).
Comparison of Tuning Histogram Shapes with Random Inputs
Our data indicate that excitatory synaptic connections are, to a large extent, specifically formed between neurons of similar orientation selectivity. However, theoretically an orientation bias of input tuning curves can be either due to an actual specificity of synaptic connections between iso-orientation tuned neurons or due to an organizational feature of the orientation map per se. To distinguish between these possibilities we have constructed artificial tuning histograms of simulated inputs spaced 50100 µm apart (Fig. 9). The orientation tuning difference of these sites and the positions of actual postsynaptic cells (n = 11, six layer 2/3 cells, five layer 5/6 neurons) was calculated and the orientation tuning histograms constructed. Although these histograms are centered on iso-orientation, they are considerably broader than the distributions for excitatory inputs to layer 2/3 neurons (average half width at half height: 49.1°, SEM 18.4°, n = 11). The tuning of actual excitatory inputs to layer 2/3 and layer 5/6 pyramidal neurons was statistically significantly sharper than the tuning of artificial inputs in both the 500 µm range (P < 0.001, Student's t-test) and the 5001500 µm range (P < 0.03, Student's t-test).
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Discussion |
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The optical signal recorded during the in vivo part of our experiments derives mainly from cortical layers 2/3 and 4; the contribution of the deep layers is very low. In order to be able to align slices from the deep cortical layers with the optical imaging maps, we had to ascertain that there were no significant changes in orientation tuning between upper and lower cortical layers. To this end, we have performed single unit recordings through all layers during vertical penetrations through area 17. Our recordings showed no evidence for significant changes in orientation tuning between upper and lower cortical layers. We thus feel confident to align synaptic input maps derived from layer 5/6 neurons with the orientation preference maps.
In the in vitro photostimulation part of our experiments we have used the holding potential to discriminate between glutamatergic EPSCs and GABAA receptor mediated IPSCs. Our method does not allow for detection of GABAB receptor mediated inhibitory synaptic inputs, i.e. we can only draw conclusions regarding the orientation specificity of GABAA receptor mediated inhibitory synaptic inputs. However, our preliminary pharmacological experiments (B. Chen and B. Roerig, unpublished observation) conducted in tangential slices obtained from ferrets at P32P46 do not show any significant contribution of GABAB receptor mediated synaptic currents to photo-stimulation-evoked responses.
Comparison with Other Species
The majority of studies addressing receptive field properties in the primary visual cortex, in particular orientation selectivity, have been conducted in cats. However, the pigmented ferret is becoming an increasingly popular species since it is hardier, recordings are more stable, especially in young animals and, due to its premature birth compared to the cat, the ferret is more suitable for developmental studies. The development of orientation tuning and the percentages of tuned neurons in the adult cortex are similar for cat and ferret (Chapman and Stryker, 1993). We have used the ferret as a model system in this study since (a) the smaller size of the primary visual cortex as compared to the cat facilitates large-scale mapping studies and makes the ferret an ideal model system for combined in vivoin vitro studies and (b) due to its premature birth the ferret is more suitable for future developmental studies.
Orientation Tuning of Intracortical Synaptic Connections
A number of current models proposed to explain the initial emergence of orientation tuning in the primary visual cortex assume a prominent role for intracortical synaptic connections, in particular inhibitory connections. The goal of our study was to analyse the orientation tuning of excitatory and inhibitory intracortical connections to clarify how the specificity and spatial organization of intracortical circuits fits into current models of orientation selectivity. In general, the orientation tuning of both excitatory and inhibitory synaptic inputs to pyramidal neurons showed a strong bias towards iso-orientation. This was observed in both upper and lower cortical layers.
It was originally proposed (Hubel and Wiesel, 1962) that the spatial alignment of LGN afferents with on/off center surround receptive field structure accounts for the emergence of a preferred axis of orientation in first-order cortical neurons, i.e. layer 4 simple cells. This simple model does not require intracortical synaptic inputs. Two recent studies corroborate this model: inactivation of the intracortical circuitry by cooling (Ferster et al., 1996
) or electrically evoked inhibition (Chung et al., 1998) does not significantly affect orientation selectivity in simple cells. However, cooling of the cortex also reduces the efficacy of the thalamocortical input, thus resulting in a pre-selection for the strongest input. Using intracortical inhibition to inactivate cortical circuits recruits the very synapses that under control conditions may contribute to the emergence or refinement of orientation tuning, leaving a potential contribution of intracortical circuits unresolved.
Other models put forward to explain the emergence of orientation selectivity in V1 propose a role for intracortical inputs. Some groups have reported tremendous alterations of tuning properties following removal of intracortical inhibition (Sillito, 1975, 1980; Morrone et al., 1982
; Crook et al., 1992, 1996), indicating a prominent role for intrinsic inhibitory synaptic connections. How intracortical inhibition exactly operates to create or sharpen orientation tuning, however, remains to be resolved. Current models of orientation selectivity mainly differ in their assumptions about the properties of intracortical inhibition. Intracortical inhibition could itself be orientation selective and thus specifically suppress orthogonally tuned excitation, as proposed in the cross-orientation model of orientation selectivity (Sillito, 1979
, 1980; Heggelund, 1981
). Cross-orientation models (Sillito, 1979
, 1980; Heggelund, 1981
) postulate that inhibitory connections arising from regions preferring opposite stimulus orientations suppress excitatory inputs originating from cross-orientation domains. Alternatively, the excitatory input could have some orientation selectivity and inhibition could provide a threshold nonlinearity restricting the range of orientations over which the cell will fire (recurrent models of orientation selectivity). Recurrent models assume isoorientation preference for excitatory inputs and iso-orientation centered, but broader tuning curves for intracortical inhibition (Blakemore and Tobin, 1972
; Hata et al., 1991
; Berman et al., 1991
; Somers et al., 1995
). The broadness of inhibitory tuning required by recurrent models is in apparent conflict with some experimental results. Inhibitory synaptic potentials recorded in vivo in cat visual cortex simple and complex cells were well tuned for the same orientation as excitatory inputs to the same neuron (Ferster, 1986
; Douglas et al., 1991). On the other hand, there is also evidence for non-iso-orientation tuned inhibitory inputs to first-order cells in cat area 17 in vivo, which have been hypothesized to contribute to time-dependent sharpening of orientation tuning (Morrone et al., 1982
; Crook et al., 1992, 1997
; Pei et al., 1994
). In addition, studies reporting the presence of cross-orientation inhibition usually show broad tuning width for inhibition rather than sharp tuning for non-iso orientations (Morrone et al., 1982
; Crook et al., 1992, 1997
).
In summary, the intracortical connectivity patterns underlying the generation of orientation tuning are still not clear. Our combined in vivo-in vitro approach allows the analysis of the circuit patterns that may create these properties. In experiments using electrical stimulation (Weliky et al., 1995) there is often no clear distinction between mono- and polysynaptic connections. Polysynaptic activation of both long-range and locally projecting inhibitory interneurons is likely to occur in these experiments. Hence, the location of GABAergic interneurons relative to the orientation map is not known. Photostimulation, on the other hand, mainly activates monosynaptic inputs. A fraction of the orientation specific inhibitory inputs observed both in vivo and in vitro may result from polysynaptic activation of local inter-neurons. In this scenario interneurons would not have to be located in exactly the same orientation domain as the postsynaptic cell and still may mediate disynaptic, orientation-specific inhibition. Excitatory horizontal connections arising from iso-orientation domains may recruit GABAergic interneurons from a relatively broad annulus around a given cell. This mechanism would explain the functional iso-orientation tuning of both excitatory and inhibitory inputs. However, both theoretical and experimental studies indicate that even broadly tuned circular inhibition can result in sharpening of orientation tuning and in the emergence of direction selectivity (Blakemore and Tobin, 1972
; Woergoetter et al., 1991). Our study corroborates this: there was no evidence of a predominance of cross-orientation tuned inhibitory inputs in any of the recorded pyramidal cells, although a fraction (up to 1520 % in some cells) of inhibitory inputs were frequently evoked from domains differing in orientation preference by 8090° from the post-synaptic neuron. The sum tuning histograms for inhibitory inputs, however, were biased towards iso-orientation. The tuning width of inhibitory input distributions was significantly broader than the tuning width of excitatory inputs. This was the case for both upper and lower layer neurons. Thus, the predominant role of intracortical inhibition may be the thresholding of excitation rather than providing an orientation specific input, in line with recurrent models of orientation selectivity (Somers, 1995; Sengpiel et al., 1997
).
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Notes |
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References |
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