Webex meeting: https://ibm.webex.com/meet/sebastien.a.naze
Sebastien Naze,
James Kozloski Large scale brain models encompassing cortico-cortical, thalamo-cortical and basal ganglia processing are fundamental to understand the brain as an integrated system in healthy and disease conditions but are complex to analyze and interpret. Neuronal processes are typically segmented by region and modality in order to explain an experimental observation at a given scale and then integrated to a global framework (Eliasmisth & Trujillo, 2014). Here, we present a set of functional requirements applied to validate the recently developed IBEx model (Kozloski, 2016) against a learning task involving coordinated activity across cortical and sub-cortical regions in a brain- computer interface (BCI) context involving volitional control of a sensory stimulus (Koralek et al., 2012). The original IBEx model comprises interacting modules for supra-granular, infra-granular cortical layers, thalamic integration, basal ganglia parallel processing and dopamine-mediated reinforcement learning. We decompose and analyze each subsystem in the context of the BCI learning task whereby parameters are tuned to comply to its functional requirements. Intermediate conclusions are presented for each subsystem according to the constraints imposed to satisfy the requirements, before re-incorporating the subsystem in the global framework. Consequences of model modifications and parameter tuning are assessed at the scales of the subsystem and the whole brain system. The relation between infra-granular spiking activity in different cortical regions, thalamo-cortical delta rhythms and higher level description of cognitive or motor trajectories (according to the brain region) is displayed. The relation to phenotypes associated to Huntington's disease is exposed and the framework is discussed in perspective to other state-of-art integrative efforts to understand complex high-order brain functions (Oizumi et al., 2014; Mashour et al., 2020).C. Eliasmith and O. Trujillo (2014) The use and abuse of large-scale brain models. Current Opinion in Neurobiology.
A. C. Koralek, X. Jin, J. D. Long Ii, R. M. Costa, and J. M. Carmena (2012) Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills. Nature.
J. Kozloski (2016) Closed-Loop Brain Model of Neocortical Information-Based Exchange. Frontiers in neuroanatomy.
G. A. Mashour, P. Roelfsema, J.-P. Changeux, and S. Dehaene (2020) Conscious Processing and the Global Neuronal Workspace Hypothesis. Neuron.
M. Oizumi, L. Albantakis, and G. Tononi (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLOS Computational Biology.
