Biased competition in the absence of input bias revealed through corticostriatal computation

Significance The canonical model of the basal ganglia is based on competing direct (GO) vs. indirect (NO-GO) pathways. However, how is either of the two pathways activated if they receive the same corticostriatal inputs as experimental evidence suggests? Also, in the context of rule-based decisions, how is a specific action selected among competing GO pathways? We introduce a neural circuit model that identifies three alternative mechanisms flexibly supporting preferential processing between GO and NO-GO alternatives under balanced input. Only one of these mechanisms, however, is capable of enabling action selection by reinforcing, in the striatum, the rule-based rhythmic biases reported in prefrontal cortex. Classical accounts of biased competition require an input bias to resolve the competition between neuronal ensembles driving downstream processing. However, flexible and reliable selection of behaviorally relevant ensembles can occur with unbiased stimulation: striatal D1 and D2 spiny projection neurons (SPNs) receive balanced cortical input, yet their activity determines the choice between GO and NO-GO pathways in the basal ganglia. We here present a corticostriatal model identifying three mechanisms that rely on physiological asymmetries to effect rate- and time-coded biased competition in the presence of balanced inputs. First, tonic input strength determines which one of the two SPN phenotypes exhibits a higher mean firing rate. Second, low-strength oscillatory inputs induce higher firing rate in D2 SPNs but higher coherence between D1 SPNs. Third, high-strength inputs oscillating at distinct frequencies can preferentially activate D1 or D2 SPN populations. Of these mechanisms, only the latter accommodates observed rhythmic activity supporting rule-based decision making in prefrontal cortex.

[1]  C. Gerfen,et al.  Modulation of striatal projection systems by dopamine. , 2011, Annual review of neuroscience.

[2]  J. Penney,et al.  The functional anatomy of basal ganglia disorders , 1989, Trends in Neurosciences.

[3]  C. Gerfen,et al.  D1 and D2 dopamine receptor-regulated gene expression of striatonigral and striatopallidal neurons. , 1990, Science.

[4]  Steven S. Vogel,et al.  Concurrent Activation of Striatal Direct and Indirect Pathways During Action Initiation , 2013, Nature.

[5]  Arvind Kumar,et al.  Existence and Control of Go/No-Go Decision Transition Threshold in the Striatum , 2015, PLoS Comput. Biol..

[6]  B. Sabatini,et al.  Antagonistic but Not Symmetric Regulation of Primary Motor Cortex by Basal Ganglia Direct and Indirect Pathways , 2015, Neuron.

[7]  P. Tiesinga,et al.  Role of interneuron diversity in the cortical microcircuit for attention. , 2008, Journal of neurophysiology.

[8]  Francois Gonon,et al.  Intratelencephalic corticostriatal neurons equally excite striatonigral and striatopallidal neurons and their discharge activity is selectively reduced in experimental parkinsonism , 2008, The European journal of neuroscience.

[9]  Earl K. Miller,et al.  Prefrontal oscillations modulate the propagation of neuronal activity required for working memory , 2019, Neurobiology of Learning and Memory.

[10]  L.F. Abbott,et al.  Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks , 2009, Nature Neuroscience.

[11]  C. Gerfen,et al.  The frontal cortex-basal ganglia system in primates. , 1996, Critical reviews in neurobiology.

[12]  James L. McClelland,et al.  On the control of automatic processes: a parallel distributed processing account of the Stroop effect. , 1990, Psychological review.

[13]  Xiao-Jing Wang,et al.  Reconciling Coherent Oscillation with Modulationof Irregular Spiking Activity in Selective Attention:Gamma-Range Synchronization between Sensoryand Executive Cortical Areas , 2010, The Journal of Neuroscience.

[14]  E. Miller,et al.  Neural Activity in the Primate Prefrontal Cortex during Associative Learning , 1998, Neuron.

[15]  David J. Freedman,et al.  Categorical representation of visual stimuli in the primate prefrontal cortex. , 2001, Science.

[16]  Nancy Kopell,et al.  Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity , 2003, Neural Computation.

[17]  E. Rolls,et al.  Neurodynamics of biased competition and cooperation for attention: a model with spiking neurons. , 2005, Journal of neurophysiology.

[18]  Eduardo Martin Moraud,et al.  Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection , 2016, PLoS Comput. Biol..

[19]  K. C. Anderson,et al.  Single neurons in prefrontal cortex encode abstract rules , 2001, Nature.

[20]  Koen V. Haak,et al.  Functional corticostriatal connection topographies predict goal directed behaviour in humans , 2017, Nature Human Behaviour.

[21]  E. Miller,et al.  Differences between Neural Activity in Prefrontal Cortex and Striatum during Learning of Novel Abstract Categories , 2011, Neuron.

[22]  G. E. Alexander,et al.  Functional architecture of basal ganglia circuits: neural substrates of parallel processing , 1990, Trends in Neurosciences.

[23]  E. Miller,et al.  Increases in Functional Connectivity between Prefrontal Cortex and Striatum during Category Learning , 2014, Neuron.

[24]  Eric L. Denovellis,et al.  Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex , 2012, Neuron.

[25]  Jonathan D. Cohen,et al.  Prefrontal cortex and flexible cognitive control: rules without symbols. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Bernardo L Sabatini,et al.  Antagonistic but Not Symmetric Regulation of Primary Motor Cortex by Basal Ganglia Direct and Indirect Pathways. , 2015, Neuron.

[27]  Xiao-Jing Wang,et al.  An Integrated Microcircuit Model of Attentional Processing in the Neocortex , 2007, The Journal of Neuroscience.

[28]  Xiao-Jing Wang,et al.  A Tweaking Principle for Executive Control: Neuronal Circuit Mechanism for Rule-Based Task Switching and Conflict Resolution , 2013, The Journal of Neuroscience.

[29]  J. Bargas,et al.  Duration differences of corticostriatal responses in striatal projection neurons depend on calcium activated potassium currents , 2013, Front. Syst. Neurosci..

[30]  Dimitri M. Kullmann,et al.  Oscillations and Filtering Networks Support Flexible Routing of Information , 2010, Neuron.

[31]  D James Surmeier,et al.  Recurrent Collateral Connections of Striatal Medium Spiny Neurons Are Disrupted in Models of Parkinson's Disease , 2008, The Journal of Neuroscience.

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

[33]  Michael E Hasselmo,et al.  Flexible resonance in prefrontal networks with strong feedback inhibition , 2018, bioRxiv.

[34]  S. Wise,et al.  Rule-dependent neuronal activity in the prefrontal cortex , 1999, Experimental Brain Research.

[35]  S. Epstein,et al.  Gamma oscillations mediate stimulus competition and attentional selection in a cortical network model , 2008, Proceedings of the National Academy of Sciences.

[36]  Luis Carrillo-Reid,et al.  Dopaminergic modulation of short-term synaptic plasticity at striatal inhibitory synapses , 2007, Proceedings of the National Academy of Sciences.

[37]  R. Desimone Visual attention mediated by biased competition in extrastriate visual cortex. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[38]  Torben Ott,et al.  Dopamine Receptors Differentially Enhance Rule Coding in Primate Prefrontal Cortex Neurons , 2014, Neuron.

[39]  Salva Ardid,et al.  DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation , 2018, Front. Neuroinform..