A functional microcircuit for cat visual cortex.

1. We have studied in vivo the intracellular responses of neurones in cat visual cortex to electrical pulse stimulation of the cortical afferents and have developed a microcircuit that simulates much of the experimental data. 2. Inhibition and excitation are not separable events, because individual neurones are embedded in microcircuits that contribute strong population effects. Synchronous electrical activation of the cortex inevitably set in motion a sequence of excitation and inhibition in every neurone we recorded. The temporal form of this response depends on the cortical layer in which the neurone is located. Superficial layer (layers 2+3) pyramidal neurones show a more marked polysynaptic excitatory phase than the pyramids of the deep layers (layers 5+6). 3. Excitatory effects on pyramidal neurones, particularly the superficial layer pyramids, are in general not due to monosynaptic input from thalamus, but polysynaptic input from cortical pyramids. Since the thalamic input is transient it does not provide the major, sustained excitation arriving at any cortical neurone. Instead the intracortical excitatory connections provide the major component of the excitation. 4. The polysynaptic excitatory response would be sustained well after the stimulus, were it not for the suppressive effect of intracortical inhibition induced by the pulse stimulation. 5. Intracellular recording combined with ionophoresis of gamma‐aminobutyric acid (GABA) agonists and antagonists showed that intracortical inhibition is mediated by GABAA and GABAB receptors. The GABAA component occurs in the early phase of the impulse response. It is reflected in the strong hyperpolarization that follows the excitatory response and lasts about 50 ms. The GABAB component occurs in the late phase of the response, and is reflected in a sustained hyperpolarization that lasts some 200‐300 ms. Both components are seen in all cortical pyramidal neurones. However, the GABAA component appears more powerful in deep layer pyramids than superficial layer pyramids. 6. The microcircuit simulates with good fidelity the above data from experiments in vivo and provides a novel explantation for the apparent lack of significant inhibition during visual stimulation. The basic circuit may be common to all cortical areas studied and thus the microcircuit may be a ‘canonical’ microcircuit for neocortex.

[1]  D. Hubel,et al.  Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.

[2]  C. Li,et al.  Cortical intracellular potentials in response to stimulation to lateral geniculate body. , 1960, Journal of neurophysiology.

[3]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[4]  C. Li,et al.  Cortical intracellular synaptic potentials and direct cortical stimulation. , 1962, Journal of cellular and comparative physiology.

[5]  J. Eccles The Physiology of Synapses , 1964, Springer Berlin Heidelberg.

[6]  K. Krnjević,et al.  Cortical inhibition and gamma-aminobutyric acid. , 1969, Experimental brain research.

[7]  K Matsunami,et al.  Antidromic identification of association, commissural and corticofugal efferent cells in cat visual cortex. , 1969, Brain research.

[8]  J. Stone,et al.  Conduction velocity of afferents to cat visual cortex: a correlation with cortical receptive field properties. , 1971, Brain research.

[9]  P. O. Bishop,et al.  Responses to visual contours: spatio‐temporal aspects of excitation in the receptive fields of simple striate neurones , 1971, The Journal of physiology.

[10]  J Rinzel,et al.  Branch input resistance and steady attenuation for input to one branch of a dendritic neuron model. , 1973, Biophysical journal.

[11]  J Rinzel,et al.  Transient response in a dendritic neuron model for current injected at one branch. , 1974, Biophysical journal.

[12]  A. Sillito The contribution of inhibitory mechanisms to the receptive field properties of neurones in the striate cortex of the cat. , 1975, The Journal of physiology.

[13]  P. O. Bishop,et al.  Direction selectivity of simple striate cells: properties and mechanism. , 1975, Journal of neurophysiology.

[14]  G. Henry,et al.  Direction selectivity of complex cells in a comparison with simple cells. , 1975, Journal of neurophysiology.

[15]  C. Nicholson Electric current flow in excitable cells J. J. B. Jack, D. Noble &R. W. Tsien Clarendon Press, Oxford (1975). 502 pp., £18.00 , 1976, Neuroscience.

[16]  C. Gilbert Laminar differences in receptive field properties of cells in cat primary visual cortex , 1977, The Journal of physiology.

[17]  A. Sillito Inhibitory mechanisms influencing complex cell orientation selectivity and their modification at high resting discharge levels. , 1979, The Journal of physiology.

[18]  G. Henry,et al.  Anatomical organization of the primary visual cortex (area 17) of the cat. A comparison with area 17 of the macaque monkey , 1979, The Journal of comparative neurology.

[19]  T. Wiesel,et al.  Morphology and intracortical projections of functionally characterised neurones in the cat visual cortex , 1979, Nature.

[20]  G. Henry,et al.  The afferent connections and laminar distribution of cells in the cat striate cortex , 1979, The Journal of comparative neurology.

[21]  G. Henry,et al.  Ordinal position of neurons in cat striate cortex. , 1979, Journal of neurophysiology.

[22]  P. O. Bishop,et al.  Direction-selective cells in complex family in cat striate cortex. , 1980, Journal of neurophysiology.

[23]  T. Powell,et al.  The basic uniformity in structure of the neocortex. , 1980, Brain : a journal of neurology.

[24]  Alan Peters,et al.  A reassessment of the forms of nonpyramidal neurons in area 17 of cat visual cortex , 1981, The Journal of comparative neurology.

[25]  P. Heggelund Receptive field organization of simple cells in cat striate cortex , 1981, Experimental brain research.

[26]  G. Orban,et al.  Response to movement of neurons in areas 17 and 18 of the cat: direction selectivity. , 1981, Journal of neurophysiology.

[27]  B. Connors,et al.  Electrophysiological properties of neocortical neurons in vitro. , 1982, Journal of neurophysiology.

[28]  D. Ferster,et al.  An intracellular analysis of geniculo‐cortical connectivity in area 17 of the cat. , 1983, The Journal of physiology.

[29]  P. Somogyi,et al.  Synaptic connections of morphologically identified and physiologically characterized large basket cells in the striate cortex of cat , 1983, Neuroscience.

[30]  T. Poggio,et al.  A theoretical analysis of electrical properties of spines , 1983, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[31]  Professor Dr. Guy A. Orban Neuronal Operations in the Visual Cortex , 1983, Studies of Brain Function.

[32]  D. Whitteridge,et al.  Form, function and intracortical projections of spiny neurones in the striate visual cortex of the cat. , 1984, The Journal of physiology.

[33]  L Ganz,et al.  Mechanism of directional selectivity in simple neurons of the cat's visual cortex analyzed with stationary flash sequences. , 1984, Journal of neurophysiology.

[34]  K. Martin Neuronal Circuits in Cat Striate Cortex , 1984 .

[35]  T. Wiesel,et al.  Patterns of synaptic input to layer 4 of cat striate cortex , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[36]  T. Poggio,et al.  The synaptic veto mechanism: does it underlie direction and orientation selectivity in the visual cortex , 1985 .

[37]  R. Nicoll,et al.  Comparison of the action of baclofen with gamma‐aminobutyric acid on rat hippocampal pyramidal cells in vitro. , 1985, The Journal of physiology.

[38]  The role of inhibitory interneurons in the function of area 17 , 1985 .

[39]  D. Whitteridge,et al.  Innervation of cat visual areas 17 and 18 by physiologically identified X‐ and Y‐ type thalamic afferents. II. Identification of postsynaptic targets by GABA immunocytochemistry and Golgi impregnation , 1985, The Journal of comparative neurology.

[40]  Local excitatory circuits in area 17 of the cat , 1985 .

[41]  A. L. Humphrey,et al.  Projection patterns of individual X‐ and Y‐cell axons from the lateral geniculate nucleus to cortical area 17 in the cat , 1985, The Journal of comparative neurology.

[42]  D. Whitteridge,et al.  Innervation of cat visual areas 17 and 18 by physiologically identified X‐ and Y‐ type thalamic afferents. I. Arborization patterns and quantitative distribution of postsynaptic elements , 1985, The Journal of comparative neurology.

[43]  Christof Koch,et al.  A simple algorithm for solving the cable equation in dendritic trees of arbitrary geometry , 1985, Journal of Neuroscience Methods.

[44]  D. McCormick,et al.  Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. , 1985, Journal of neurophysiology.

[45]  D. Whitteridge,et al.  Synaptic connections of intracellularly filled clutch cells: A type of small basket cell in the visual cortex of the cat , 1985, The Journal of comparative neurology.

[46]  P. Somogyi,et al.  Immunogold demonstration of GABA in synaptic terminals of intracellularly recorded, horseradish peroxidase-filled basket cells and clutch cells in the cat's visual cortex , 1986, Neuroscience.

[47]  D. Ferster Orientation selectivity of synaptic potentials in neurons of cat primary visual cortex , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[48]  P. Somogyi,et al.  Evidence for interlaminar inhibitory circuits in the striate cortex of the cat , 1987, The Journal of comparative neurology.

[49]  D. Ferster Origin of orientation-selective EPSPs in simple cells of cat visual cortex , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[50]  D. Whitteridge,et al.  Connections between pyramidal neurons in layer 5 of cat visual cortex (area 17) , 1987, The Journal of comparative neurology.

[51]  P. Schwindt,et al.  Slow conductances in neurons from cat sensorimotor cortex in vitro and their role in slow excitability changes. , 1988, Journal of neurophysiology.

[52]  P. Schwindt,et al.  Multiple potassium conductances and their functions in neurons from cat sensorimotor cortex in vitro. , 1988, Journal of neurophysiology.

[53]  K. Martin,et al.  The Wellcome Prize lecture. From single cells to simple circuits in the cerebral cortex. , 1988, Quarterly journal of experimental physiology.

[54]  D. Whitteridge,et al.  Selective responses of visual cortical cells do not depend on shunting inhibition , 1988, Nature.

[55]  D. Ferster Spatially opponent excitation and inhibition in simple cells of the cat visual cortex , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[56]  B. Connors,et al.  Two inhibitory postsynaptic potentials, and GABAA and GABAB receptor‐mediated responses in neocortex of rat and cat. , 1988, The Journal of physiology.

[57]  Kevan A. C. Martin,et al.  A Canonical Microcircuit for Neocortex , 1989, Neural Computation.

[58]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .

[59]  Peter A. Getting Reconstruction of small neural networks , 1989 .

[60]  M. J. Friedlander,et al.  Physiological, morphological, and cytochemical characteristics of a layer 1 neuron in cat striate cortex , 1989, The Journal of comparative neurology.

[61]  P. Somogyi,et al.  Targets and Quantitative Distribution of GABAergic Synapses in the Visual Cortex of the Cat , 1990, The European journal of neuroscience.

[62]  C. Koch,et al.  Visibility of synaptically induced conductance changes: theory and simulations of anatomically characterized cortical pyramidal cells , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[63]  D. Whitteridge,et al.  An intracellular analysis of the visual responses of neurones in cat visual cortex. , 1991, The Journal of physiology.

[64]  K. Martin,et al.  Excitation by geniculocortical synapses is not ‘vetoed’ at the level of dendritic spines in cat visual cortex. , 1991, The Journal of physiology.