Nominally non-responsive frontal and sensory cortical cells encode task-relevant variables via ensemble consensus-building

Neurons recorded in behaving animals often do not discernibly respond to sensory input and are not overtly task-modulated. These nominally non-responsive neurons are difficult to interpret and are typically neglected from analysis, confounding attempts to connect neural activity to perception and behavior. Here we describe a trial-by-trial, spike-timing-based algorithm to reveal the hidden coding capacities of these neurons in auditory and frontal cortex of behaving rats. Responsive and nominally non-responsive cells contained significant information about sensory stimuli and behavioral decisions, and network modeling indicated that nominally non-responsive cells are important for task performance. Sensory input was more accurately represented in frontal cortex than auditory cortex, via ensembles of nominally non-responsive cells coordinating the behavioral meaning of spike timings on correct but not error trials. This unbiased approach allows the contribution of all recorded neurons - particularly those without obvious task-modulation - to be assessed for behavioral relevance on single trials.

[1]  Eugene M. Izhikevich,et al.  Neural excitability, Spiking and bursting , 2000, Int. J. Bifurc. Chaos.

[2]  I. Nelken,et al.  Sensitivity to Complex Statistical Regularities in Rat Auditory Cortex , 2012, Neuron.

[3]  T. Hromádka,et al.  Sparse Representation of Sounds in the Unanesthetized Auditory Cortex , 2008, PLoS biology.

[4]  David J. Field,et al.  What Is the Other 85 Percent of V1 Doing , 2006 .

[5]  M. Svirsky,et al.  A physiological and behavioral system for hearing restoration with cochlear implants. , 2016, Journal of neurophysiology.

[6]  J. Fritz,et al.  Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex , 2003, Nature Neuroscience.

[7]  Bingni W. Brunton,et al.  Distinct relationships of parietal and prefrontal cortices to evidence accumulation , 2014, Nature.

[8]  Grace W. Lindsay,et al.  Parallel processing by cortical inhibition enables context-dependent behavior , 2016, Nature Neuroscience.

[9]  M. Shadlen,et al.  Decision-making with multiple alternatives , 2008, Nature Neuroscience.

[10]  Robert C. Froemke,et al.  Coordinated forms of noradrenergic plasticity in the locus coeruleus and primary auditory cortex , 2015, Nature Neuroscience.

[11]  Xiao-Jing Wang,et al.  The importance of mixed selectivity in complex cognitive tasks , 2013, Nature.

[12]  Chris C. Rodgers,et al.  Neural Correlates of Task Switching in Prefrontal Cortex and Primary Auditory Cortex in a Novel Stimulus Selection Task for Rodents , 2014, Neuron.

[13]  H. Read,et al.  Multiparametric auditory receptive field organization across five cortical fields in the albino rat. , 2007, Journal of neurophysiology.

[14]  D H HUBEL,et al.  "Attention" Units in the Auditory Cortex , 1959, Science.

[15]  S. David,et al.  Adaptive, behaviorally-gated, persistent encoding of task-relevant auditory information in ferret frontal cortex , 2010, Nature Neuroscience.

[16]  Shihab A Shamma,et al.  Task reward structure shapes rapid receptive field plasticity in auditory cortex , 2012, Proceedings of the National Academy of Sciences.

[17]  L. F. Abbott,et al.  full-FORCE: A target-based method for training recurrent networks , 2017, PloS one.

[18]  David J. Field,et al.  What is the other 85% of V1 doing? , 2004 .

[19]  F. Mechler,et al.  Interspike Intervals, Receptive Fields, and Information Encoding in Primary Visual Cortex , 2000, The Journal of Neuroscience.

[20]  M M Merzenich,et al.  Representation of cochlea within primary auditory cortex in the cat. , 1975, Journal of neurophysiology.

[21]  R. Mooney,et al.  A synaptic and circuit basis for corollary discharge in the auditory cortex , 2014, Nature.

[22]  P. Goldman-Rakic,et al.  Auditory belt and parabelt projections to the prefrontal cortex in the Rhesus monkey , 1999, The Journal of comparative neurology.

[23]  M. C. Jones,et al.  A Brief Survey of Bandwidth Selection for Density Estimation , 1996 .

[24]  Xiaoqin Wang,et al.  Information content of auditory cortical responses to time-varying acoustic stimuli. , 2004, Journal of neurophysiology.

[25]  Zachary F Mainen,et al.  Neural antecedents of self-initiated actions in secondary motor cortex , 2014, Nature Neuroscience.

[26]  Anthony M Zador,et al.  Auditory Thalamus and Auditory Cortex Are Equally Modulated by Context during Flexible Categorization of Sounds , 2014, The Journal of Neuroscience.

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

[28]  Gonzalo H. Otazu,et al.  Engaging in an auditory task suppresses responses in auditory cortex , 2009, Nature Neuroscience.

[29]  M. Shadlen,et al.  Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex , 2009, Science.

[30]  Michele N. Insanally,et al.  Dynamics of auditory cortical activity during behavioural engagement and auditory perception , 2017, Nature Communications.

[31]  M. Diamond,et al.  Complementary Contributions of Spike Timing and Spike Rate to Perceptual Decisions in Rat S1 and S2 Cortex , 2015, Current Biology.

[32]  N. Weinberger Auditory associative memory and representational plasticity in the primary auditory cortex , 2007, Hearing Research.

[33]  Xiaoqin Wang,et al.  Spectral integration in A1 of awake primates: neurons with single- and multipeaked tuning characteristics. , 2003, Journal of neurophysiology.

[34]  B. Hangya,et al.  Central Cholinergic Neurons Are Rapidly Recruited by Reinforcement Feedback , 2015, Cell.

[35]  T. Sejnowski,et al.  23 problems in systems neuroscience , 2006 .

[36]  A. Zador,et al.  Auditory cortex mediates the perceptual effects of acoustic temporal expectation , 2010, Nature Neuroscience.

[37]  Matthew T. Kaufman,et al.  A category-free neural population supports evolving demands during decision-making , 2014, Nature Neuroscience.

[38]  Adrienne L Fairhall,et al.  Decoding Stimulus Variance from a Distributional Neural Code of Interspike Intervals , 2006, The Journal of Neuroscience.

[39]  Jeffrey C. Erlich,et al.  A Cortical Substrate for Memory-Guided Orienting in the Rat , 2011, Neuron.

[40]  C. Schreiner,et al.  Long-term modification of cortical synapses improves sensory perception , 2012, Nature Neuroscience.

[41]  Matthew C Wiener,et al.  Decoding Spike Trains Instant by Instant Using Order Statistics and the Mixture-of-Poissons Model , 2003, The Journal of Neuroscience.

[42]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

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