Mechanisms underlying a thalamocortical transformation during active tactile sensation

During active somatosensation, neural signals expected from movement of the sensors are suppressed in the cortex, whereas information related to touch is enhanced. This tactile suppression underlies low-noise encoding of relevant tactile features and the brain’s ability to make fine tactile discriminations. Layer (L) 4 excitatory neurons in the barrel cortex, the major target of the somatosensory thalamus (VPM), respond to touch, but have low spike rates and low sensitivity to the movement of whiskers. Most neurons in VPM respond to touch and also show an increase in spike rate with whisker movement. Therefore, signals related to self-movement are suppressed in L4. Fast-spiking (FS) interneurons in L4 show similar dynamics to VPM neurons. Stimulation of halorhodopsin in FS interneurons causes a reduction in FS neuron activity and an increase in L4 excitatory neuron activity. This decrease of activity of L4 FS neurons contradicts the "paradoxical effect" predicted in networks stabilized by inhibition and in strongly-coupled networks. To explain these observations, we constructed a model of the L4 circuit, with connectivity constrained by in vitro measurements. The model explores the various synaptic conductance strengths for which L4 FS neurons actively suppress baseline and movement-related activity in layer 4 excitatory neurons. Feedforward inhibition, in concert with recurrent intracortical circuitry, produces tactile suppression. Synaptic delays in feedforward inhibition allow transmission of temporally brief volleys of activity associated with touch. Our model provides a mechanistic explanation of a behavior-related computation implemented by the thalamocortical circuit.

[1]  K. Svoboda,et al.  Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice , 2008, Nature.

[2]  Jean-Christophe Comte,et al.  Whisking-Related Changes in Neuronal Firing and Membrane Potential Dynamics in the Somatosensory Thalamus of Awake Mice. , 2015, Cell reports.

[3]  D. Kleinfeld,et al.  On temporal codes and the spatiotemporal response of neurons in the lateral geniculate nucleus. , 1994, Journal of neurophysiology.

[4]  Allan R. Jones,et al.  A mesoscale connectome of the mouse brain , 2014, Nature.

[5]  M. Hulliger,et al.  The responses of afferent fibres from the glabrous skin of the hand during voluntary finger movements in man. , 1979, The Journal of physiology.

[6]  D. Giblin,et al.  SOMATOSENSORY EVOKED POTENTIALS IN HEALTHY SUBJECTS AND IN PATIENTS WITH LESIONS OF THE NERVOUS SYSTEM * † , 1964, Annals of the New York Academy of Sciences.

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

[8]  D. Kleinfeld,et al.  Vibrissa Self-Motion and Touch Are Reliably Encoded along the Same Somatosensory Pathway from Brainstem through Thalamus , 2015, PLoS biology.

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

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

[11]  David Golomb,et al.  LTS and FS Inhibitory Interneurons, Short-Term Synaptic Plasticity, and Cortical Circuit Dynamics , 2011, PLoS Comput. Biol..

[12]  K. Svoboda,et al.  The subcellular organization of neocortical excitatory connections , 2009, Nature.

[13]  D. Kleinfeld,et al.  Adaptive Filtering of Vibrissa Input in Motor Cortex of Rat , 2002, Neuron.

[14]  Dori Derdikman,et al.  Coding of object location in the vibrissal thalamocortical system. , 2015, Cerebral cortex.

[15]  Na Ji,et al.  Thalamus provides layer 4 of primary visual cortex with orientation- and direction-tuned inputs , 2015, Nature Neuroscience.

[16]  Neela K. Codadu,et al.  The Contribution of Raised Intraneuronal Chloride to Epileptic Network Activity , 2015, The Journal of Neuroscience.

[17]  Randy M Bruno,et al.  Synchrony in sensation , 2011, Current Opinion in Neurobiology.

[18]  Eugene W. Myers,et al.  Automated Tracking of Whiskers in Videos of Head Fixed Rodents , 2012, PLoS Comput. Biol..

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

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

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

[22]  R. Cooper,et al.  Inhibition of cortical evoked potentials and sensation by self-initiated movement in man , 1975, Nature.

[23]  D Kleinfeld,et al.  Central versus peripheral determinants of patterned spike activity in rat vibrissa cortex during whisking. , 1997, Journal of neurophysiology.

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

[25]  E. Marder,et al.  Variability, compensation and homeostasis in neuron and network function , 2006, Nature Reviews Neuroscience.

[26]  J. Gibson Observations on active touch. , 1962, Psychological review.

[27]  Vreeswijk,et al.  Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity , 2010 .

[28]  Erika E Fanselow,et al.  Motor cortex broadly engages excitatory and inhibitory neurons in somatosensory barrel cortex. , 2014, Cerebral cortex.

[29]  Oren Shriki,et al.  Rate Models for Conductance-Based Cortical Neuronal Networks , 2003, Neural Computation.

[30]  A. Reyes Synchrony-dependent propagation of firing rate in iteratively constructed networks in vitro , 2003, Nature Neuroscience.

[31]  C. Eliasmith,et al.  The use and abuse of large-scale brain models , 2014, Current Opinion in Neurobiology.

[32]  M. Scanziani,et al.  Distinct recurrent versus afferent dynamics in cortical visual processing , 2015, Nature Neuroscience.

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

[34]  Nathan G. Clack,et al.  Vibrissa-Based Object Localization in Head-Fixed Mice , 2010, The Journal of Neuroscience.

[35]  S. B. Vincent The function of the vibrissae in the behavior of the white rat , 1912 .

[36]  C. Akerman,et al.  Optogenetic silencing strategies differ in their effects on inhibitory synaptic transmission , 2012, Nature Neuroscience.

[37]  Ad Aertsen,et al.  Functional consequences of correlated excitatory and inhibitory conductances in cortical networks , 2010, Journal of Computational Neuroscience.

[38]  Bert Sakmann,et al.  Whisker maps of neuronal subclasses of the rat ventral posterior medial thalamus, identified by whole‐cell voltage recording and morphological reconstruction , 2002, The Journal of physiology.

[39]  R. Reid,et al.  Specificity of monosynaptic connections from thalamus to visual cortex , 1995, Nature.

[40]  Joseph H. Solomon,et al.  Biomechanical models for radial distance determination by the rat vibrissal system. , 2007, Journal of neurophysiology.

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

[42]  C E Chapman,et al.  Active versus passive touch: factors influencing the transmission of somatosensory signals to primary somatosensory cortex. , 1994, Canadian journal of physiology and pharmacology.

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

[44]  A. Zador,et al.  Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex , 2003, Nature.

[45]  Zengcai V. Guo,et al.  Neural coding during active somatosensation revealed using illusory touch , 2013, Nature Neuroscience.

[46]  A. Agmon,et al.  Distinct Subtypes of Somatostatin-Containing Neocortical Interneurons Revealed in Transgenic Mice , 2006, The Journal of Neuroscience.

[47]  Erika E. Fanselow,et al.  Thalamic bursting in rats during different awake behavioral states , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[48]  J. Poulet,et al.  Thalamic control of cortical states , 2012, Nature Neuroscience.

[49]  A. L. Yarbus,et al.  Eye Movements and Vision , 1967, Springer US.

[50]  Sen Song,et al.  Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits , 2005, PLoS biology.

[51]  K. Svoboda,et al.  Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice , 2010, Neuron.

[52]  B. Connors,et al.  Thalamocortical responses of mouse somatosensory (barrel) cortexin vitro , 1991, Neuroscience.

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

[54]  Randy M Bruno,et al.  Feedforward Mechanisms of Excitatory and Inhibitory Cortical Receptive Fields , 2002, The Journal of Neuroscience.

[55]  Michael J. Black,et al.  Visual Orientation and Directional Selectivity through Thalamic Synchrony , 2012, The Journal of Neuroscience.

[56]  Feng Zhang,et al.  Multimodal fast optical interrogation of neural circuitry , 2007, Nature.

[57]  D. Contreras,et al.  Dynamics of excitation and inhibition underlying stimulus selectivity in rat somatosensory cortex , 2005, Nature Neuroscience.

[58]  M. Fujita,et al.  Adaptive filter model of the cerebellum , 1982, Biological Cybernetics.

[59]  D. Kleinfeld,et al.  Phase-to-rate transformations encode touch in cortical neurons of a scanning sensorimotor system , 2009, Nature Neuroscience.

[60]  Per Magne Knutsen,et al.  Haptic Object Localization in the Vibrissal System: Behavior and Performance , 2006, The Journal of Neuroscience.

[61]  D. Ferster,et al.  Orientation selectivity of thalamic input to simple cells of cat visual cortex , 1996, Nature.

[62]  A. L. I︠A︡rbus Eye Movements and Vision , 1967 .

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

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

[65]  James G. King,et al.  Reconstruction and Simulation of Neocortical Microcircuitry , 2015, Cell.

[66]  J. Brumberg,et al.  Whisking in air: Encoding of kinematics by VPM neurons in awake rats , 2010, Somatosensory & motor research.

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

[68]  D. Simons,et al.  Circuit dynamics and coding strategies in rodent somatosensory cortex. , 2000, Journal of neurophysiology.

[69]  D. Simons,et al.  Thalamocortical response transformation in the rat vibrissa/barrel system. , 1989, Journal of neurophysiology.

[70]  K. Svoboda,et al.  Channelrhodopsin-2–assisted circuit mapping of long-range callosal projections , 2007, Nature Neuroscience.

[71]  Matteo Carandini,et al.  Somatosensory Integration Controlled by Dynamic Thalamocortical Feed-Forward Inhibition , 2005, Neuron.

[72]  Daniel B. Rubin,et al.  The Stabilized Supralinear Network: A Unifying Circuit Motif Underlying Multi-Input Integration in Sensory Cortex , 2015, Neuron.

[73]  D J Simons,et al.  Weaker feedforward inhibition accounts for less pronounced thalamocortical response transformation in mouse vs. rat barrels. , 2013, Journal of neurophysiology.

[74]  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.

[75]  B. McNaughton,et al.  Paradoxical Effects of External Modulation of Inhibitory Interneurons , 1997, The Journal of Neuroscience.

[76]  Bert Sakmann,et al.  Monosynaptic Connections between Pairs of Spiny Stellate Cells in Layer 4 and Pyramidal Cells in Layer 5A Indicate That Lemniscal and Paralemniscal Afferent Pathways Converge in the Infragranular Somatosensory Cortex , 2005, The Journal of Neuroscience.

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

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

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

[80]  R. Traub,et al.  Model of the origin of rhythmic population oscillations in the hippocampal slice. , 1989, Science.

[81]  E. Boyden,et al.  Multiple-Color Optical Activation, Silencing, and Desynchronization of Neural Activity, with Single-Spike Temporal Resolution , 2007, PloS one.

[82]  David Hansel,et al.  Short-Term Plasticity Explains Irregular Persistent Activity in Working Memory Tasks , 2013, The Journal of Neuroscience.

[83]  Alexander S. Ecker,et al.  Principles of connectivity among morphologically defined cell types in adult neocortex , 2015, Science.

[84]  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..

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

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

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

[88]  M. DeWeese,et al.  Binary Spiking in Auditory Cortex , 2003, The Journal of Neuroscience.

[89]  B. Sakmann,et al.  ‐Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex , 2002, The Journal of physiology.

[90]  A. Agmon,et al.  Diverse Types of Interneurons Generate Thalamus-Evoked Feedforward Inhibition in the Mouse Barrel Cortex , 2001, The Journal of Neuroscience.

[91]  D. Simons,et al.  Cortical damping: analysis of thalamocortical response transformations in rodent barrel cortex. , 2003, Cerebral cortex.

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

[93]  Nathan G. Clack,et al.  The Mechanical Variables Underlying Object Localization along the Axis of the Whisker , 2013, The Journal of Neuroscience.

[94]  D. R. Muir,et al.  Functional organization of excitatory synaptic strength in primary visual cortex , 2015, Nature.

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