Does Layer 4 in the Barrel Cortex Function as a Balanced Circuit when Responding to Whisker Movements?

Neurons in one barrel in layer 4 (L4) in the mouse vibrissa somatosensory cortex are innervated mostly by neurons from the VPM nucleus and by other neurons within the same barrel. During quiet wakefulness or whisking in air, thalamic inputs vary slowly in time, and excitatory neurons rarely fire. A barrel in L4 contains a modest amount of neurons; the synaptic conductances are not very strong and connections are not sparse. Are the dynamical properties of the L4 circuit similar to those expected from fluctuation-dominated, balanced networks observed for large, strongly coupled and sparse cortical circuits? To resolve this question, we analyze a network of 150 inhibitory parvalbumin-expressing fast-spiking inhibitory interneurons innervated by the VPM thalamus with random connectivity, without or with 1600 low-firing excitatory neurons. Above threshold, the population-average firing rate of inhibitory cortical neurons increases linearly with the thalamic firing rate. The coefficient of variation CV is somewhat less than 1. Moderate levels of synchrony are induced by converging VPM inputs and by inhibitory interaction among neurons. The strengths of excitatory and inhibitory currents during whisking are about three times larger than threshold. We identify values of numbers of presynaptic neurons, synaptic delays between inhibitory neurons, and electrical coupling within the experimentally plausible ranges for which spike synchrony levels are low. Heterogeneity in in-degrees increases the width of the firing rate distribution to the experimentally observed value. We conclude that an L4 circuit in the low-synchrony regime exhibits qualitative dynamical properties similar to those of balanced networks.

[1]  H. Sompolinsky,et al.  The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks , 2016, Neuron.

[2]  Ilan Lampl,et al.  Local and thalamic origins of correlated ongoing and sensory-evoked cortical activities , 2016, Nature Communications.

[3]  K. Miller,et al.  Neural noise can explain expansive, power-law nonlinearities in neural response functions. , 2002, Journal of neurophysiology.

[4]  Court Hull,et al.  Postsynaptic Mechanisms Govern the Differential Excitation of Cortical Neurons by Thalamic Inputs , 2009, The Journal of Neuroscience.

[5]  Karl F. Jensen,et al.  Evidence for two complementary patterns of thalamic input to the rat somatosensory cortex , 1988, Brain Research.

[6]  R. Traub,et al.  A mechanism for generation of long-range synchronous fast oscillations in the cortex , 1996, Nature.

[7]  Germán Mato,et al.  Synchrony in Heterogeneous Networks of Spiking Neurons , 2000, Neural Computation.

[8]  J. Rinzel,et al.  Clustering in globally coupled inhibitory neurons , 1994 .

[9]  A. Agmon,et al.  Short-Term Plasticity of Unitary Inhibitory-to-Inhibitory Synapses Depends on the Presynaptic Interneuron Subtype , 2012, The Journal of Neuroscience.

[10]  Jianing Yu,et al.  Mechanisms underlying a thalamocortical transformation during active tactile sensation , 2017, PLoS Comput. Biol..

[11]  D. Hansel,et al.  How Spike Generation Mechanisms Determine the Neuronal Response to Fluctuating Inputs , 2003, The Journal of Neuroscience.

[12]  Rainer Engelken,et al.  Dynamical models of cortical circuits , 2014, Current Opinion in Neurobiology.

[13]  Jianing Yu,et al.  Layer 4 fast-spiking interneurons filter thalamocortical signals during active somatosensation , 2016, Nature Neuroscience.

[14]  B. Connors,et al.  Two dynamically distinct inhibitory networks in layer 4 of the neocortex. , 2003, Journal of neurophysiology.

[15]  Haim Sompolinsky,et al.  Chaotic Balanced State in a Model of Cortical Circuits , 1998, Neural Computation.

[16]  B. Connors,et al.  The Spatial Dimensions of Electrically Coupled Networks of Interneurons in the Neocortex , 2002, The Journal of Neuroscience.

[17]  Massimo Scanziani,et al.  Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex , 2007, Nature Neuroscience.

[18]  C. Petersen,et al.  Membrane Potential Dynamics of GABAergic Neurons in the Barrel Cortex of Behaving Mice , 2010, Neuron.

[19]  H. S. Meyer,et al.  Cellular organization of cortical barrel columns is whisker-specific , 2013, Proceedings of the National Academy of Sciences.

[20]  David Golomb,et al.  The Combined Effects of Inhibitory and Electrical Synapses in Synchrony , 2005, Neural Computation.

[21]  H. Sompolinsky,et al.  Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 1996, Science.

[22]  Daniel C Millard,et al.  Thalamic state control of cortical paired-pulse dynamics. , 2017, Journal of neurophysiology.

[23]  Mathew H. Evans,et al.  Prediction of primary somatosensory neuron activity during active tactile exploration , 2015, bioRxiv.

[24]  D. Golomb Mechanism and Function of Mixed-Mode Oscillations in Vibrissa Motoneurons , 2014, PloS one.

[25]  David Golomb,et al.  Neuronal synchrony measures , 2007, Scholarpedia.

[26]  P. Dayan,et al.  Supporting Online Material Materials and Methods Som Text Figs. S1 to S9 References the Asynchronous State in Cortical Circuits , 2022 .

[27]  K. Svoboda,et al.  Interdigitated Paralemniscal and Lemniscal Pathways in the Mouse Barrel Cortex , 2006, PLoS biology.

[28]  B. Sakmann,et al.  Cortex Is Driven by Weak but Synchronously Active Thalamocortical Synapses , 2006, Science.

[29]  D. Hansel,et al.  Very long transients, irregular firing, and chaotic dynamics in networks of randomly connected inhibitory integrate-and-fire neurons. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Germán Mato,et al.  Electrical Synapses and Synchrony: The Role of Intrinsic Currents , 2003, The Journal of Neuroscience.

[31]  Kenneth D. Miller,et al.  Analysis of the Stabilized Supralinear Network , 2012, Neural Computation.

[32]  S. Hestrin,et al.  A network of fast-spiking cells in the neocortex connected by electrical synapses , 1999, Nature.

[33]  D. Hansel,et al.  The Mechanism of Orientation Selectivity in Primary Visual Cortex without a Functional Map , 2012, The Journal of Neuroscience.

[34]  Carl van Vreeswijk,et al.  Power-Law Input-Output Transfer Functions Explain the Contrast-Response and Tuning Properties of Neurons in Visual Cortex , 2011, PLoS Comput. Biol..

[35]  Michael Okun,et al.  Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities , 2008, Nature Neuroscience.

[36]  Rafael Yuste,et al.  Cooperative Subnetworks of Molecularly Similar Interneurons in Mouse Neocortex , 2016, Neuron.

[37]  Bryan M. Hooks,et al.  Sensorimotor Convergence in Circuitry of the Motor Cortex , 2017, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[38]  William Muñoz,et al.  Layer-specific modulation of neocortical dendritic inhibition during active wakefulness , 2017, Science.

[39]  D. Hansel,et al.  How Noise Contributes to Contrast Invariance of Orientation Tuning in Cat Visual Cortex , 2002, The Journal of Neuroscience.

[40]  Bryan M. Hooks,et al.  Laminar Analysis of Excitatory Local Circuits in Vibrissal Motor and Sensory Cortical Areas , 2011, PLoS biology.

[41]  B. Connors,et al.  Two networks of electrically coupled inhibitory neurons in neocortex , 1999, Nature.

[42]  Lav R. Varshney,et al.  Optimal Information Storage in Noisy Synapses under Resource Constraints , 2006, Neuron.

[43]  Ehud Ahissar,et al.  Transformation from temporal to rate coding in a somatosensory thalamocortical pathway , 2000, Nature.

[44]  D. Kleinfeld,et al.  'Where' and 'what' in the whisker sensorimotor system , 2008, Nature Reviews Neuroscience.

[45]  Alexander Lerchner,et al.  Mean field theory for a balanced hypercolumn model of orientation selectivity in primary visual cortex , 2004, Network.

[46]  P. Somogyi,et al.  Quantitative distribution of GABA-immunoreactive neurons in the visual cortex (area 17) of the cat , 2004, Experimental Brain Research.

[47]  Nathaniel N. Urban,et al.  Balanced Synaptic Input Shapes the Correlation between Neural Spike Trains , 2011, PLoS Comput. Biol..

[48]  E. Ahissar,et al.  Parallel Thalamic Pathways for Whisking and Touch Signals in the Rat , 2006, PLoS biology.

[49]  John Rinzel,et al.  Synchronization of Electrically Coupled Pairs of Inhibitory Interneurons in Neocortex , 2007, The Journal of Neuroscience.

[50]  C. Petersen,et al.  The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex , 2009, Neuron.

[51]  D. Hansel,et al.  Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks. , 2005, Physical review letters.

[52]  Evan S. Schaffer,et al.  Inhibitory Stabilization of the Cortical Network Underlies Visual Surround Suppression , 2009, Neuron.

[53]  G. Buzsáki,et al.  Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model , 1996, The Journal of Neuroscience.

[54]  Brent Doiron,et al.  The mechanics of state-dependent neural correlations , 2016, Nature Neuroscience.

[55]  T. Kaneko,et al.  Green fluorescent protein expression and colocalization with calretinin, parvalbumin, and somatostatin in the GAD67‐GFP knock‐in mouse , 2003, The Journal of comparative neurology.

[56]  H. Sompolinsky,et al.  Selectivity and Sparseness in Randomly Connected Balanced Networks , 2014, PloS one.

[57]  R. Lin,et al.  Thalamic afferents of the rat barrel cortex: a light- and electron-microscopic study using Phaseolus vulgaris leucoagglutinin as an anterograde tracer. , 1993, Somatosensory & motor research.

[58]  John Rinzel,et al.  Dynamics of Spiking Neurons Connected by Both Inhibitory and Electrical Coupling , 2003, Journal of Computational Neuroscience.

[59]  Nicolas Brunel,et al.  Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates , 1999, Neural Computation.

[60]  J. DeFelipe,et al.  The pyramidal neuron of the cerebral cortex: Morphological and chemical characteristics of the synaptic inputs , 1992, Progress in Neurobiology.

[61]  N Kopell,et al.  Gap Junctions between Interneuron Dendrites Can Enhance Synchrony of Gamma Oscillations in Distributed Networks , 2001, The Journal of Neuroscience.

[62]  David Golomb,et al.  The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks , 2000, Neural Computation.

[63]  C. Beaulieu,et al.  Numerical data on neocortical neurons in adult rat, with special reference to the GABA population , 1993, Brain Research.

[64]  Lucie A. Huet,et al.  Decoupling kinematics and mechanics reveals coding properties of trigeminal ganglion neurons in the rat vibrissal system , 2016, eLife.

[65]  Henry Markram,et al.  From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells , 2016, Cerebral cortex.

[66]  Jianing Yu,et al.  Low-noise encoding of active touch by layer 4 in the somatosensory cortex , 2015, eLife.

[67]  S. Cruikshank,et al.  Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex , 2007, Nature Neuroscience.

[68]  H. Markram,et al.  Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells , 2007, Neuron.

[69]  Gregory Gutin,et al.  Digraphs - theory, algorithms and applications , 2002 .

[70]  G. Fishell,et al.  The Largest Group of Superficial Neocortical GABAergic Interneurons Expresses Ionotropic Serotonin Receptors , 2010, The Journal of Neuroscience.

[71]  Sean J. Slee,et al.  Diversity of Gain Modulation by Noise in Neocortical Neurons: Regulation by the Slow Afterhyperpolarization Conductance , 2006, The Journal of Neuroscience.

[72]  B. Connors,et al.  Potent block of Cx36 and Cx50 gap junction channels by mefloquine. , 2004, Proceedings of the National Academy of Sciences of the United States of America.