Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT
Wimmer, Klaus (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Compte, Albert (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Roxin, Alex (Centre de Recerca Matemàtica)
Peixoto, Diogo (Stanford University. Department of Neurobiology)
Renart, Alfonso (Champalimaud Centre for the Unknown. Champalimaud Neuroscience Programme)
de la Rocha, Jaime (Institut d'Investigacions Biomèdiques August Pi i Sunyer)

Data:	2015
Resum:	Neuronal variability in sensory cortex predicts perceptual decisions. This relationship, termed choice probability (CP), can arise from sensory variability biasing behaviour and from top-down signals reflecting behaviour. To investigate the interaction of these mechanisms during the decision-making process, we use a hierarchical network model composed of reciprocally connected sensory and integration circuits. Consistent with monkey behaviour in a fixed-duration motion discrimination task, the model integrates sensory evidence transiently, giving rise to a decaying bottom-up CP component. However, the dynamics of the hierarchical loop recruits a concurrently rising top-down component, resulting in sustained CP. We compute the CP time-course of neurons in the medial temporal area (MT) and find an early transient component and a separate late contribution reflecting decision build-up. The stability of individual CPs and the dynamics of noise correlations further support this decomposition. Our model provides a unified understanding of the circuit dynamics linking neural and behavioural variability.
Ajuts:	Ministerio de Ciencia e Innovación BFU2009-09537 Ministerio de Economía y Competitividad BFU2012-34838 Ministerio de Ciencia e Innovación SAF2010-15730 Ministerio de Economía y Competitividad SAF2013-46717-R Ministerio de Ciencia e Innovación RYC-2009-04829 Ministerio de Economía y Competitividad BFU2012-33413 Ministerio de Ciencia e Innovación RYC-2011-08755 European Commission 322339 European Commission 268382 European Commission 229673
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Nature communications, Vol. 6 (February 2015) , art. 6177, ISSN 2041-1723

DOI: 10.1038/ncomms7177
PMID: 25649611

13 p, 1.9 MB

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