A bridge from neuroscientific models to recurrent neural networks. Derivation of continuous-time connectionist models from neuroscience computational principles
Gort Vicente, Joan
Losilla Vidal, Josep Maria, dir.
Universitat Autònoma de Barcelona. Facultat de Psicologia

Date: 2021
Description: 56 pag.
Abstract: In the last years, recurrent neural networks with continuous dynamics have been applied to model many neurobiological phenomena. However, the literature on the physiological foundations of these connectionist networks is practically non-existent, as they are closer to artificial neural networks than neuroscientific computational models. In this article, we explicitly derive the equations of these recurrent connectionist systems from neuroscientific models, such as leaky integrate-and-fire (LIF) neurons and synaptic chemical kinetics. We specify under what conditions this modelling is supposed to hold, and we run simulations of networks wired like some simple neural circuits, such as those that possess species like Tritonia Diomedea, Aplysia Californica or lampreys, in order to show their similar behaviour. Finally, in the first annex we introduce some of the emerging properties of these networks, such as being universal approximators of dynamical systems, and we remark that this approach is congruent with the spontaneous synchronic activity that is known to take place in the cortex.
Abstract: A través d'aquestes pàgines, oferim una derivació completament nova d'alguns models de freqüència neuronal, partint del formalisme dels "integrate and fire" i de la cinètica sinàptica. El propòsit principal és investigar els fonaments neurocientífics dels models connexionistes, ja que les equacions que obtenim es tracten de xarxes neuronals recurrents. Llavors, realitzem simulacions de circuits neuronals reals fent servir aquestes equacions, provant que poden ajustar-se a les dades registrades en tres experiments diferents. Finalment, investiguem una propietat emergent de les xarxes derivades, i mostrem que aquesta característica està en sintonia amb les correlacions que han sigut observades entre les neurones del còrtex.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Studies: Psicologia [2502443]
Study plan: Grau en Psicologia [1485]
Document: Treball final de grau
Subject: Connectionism ; Computational neuroscience ; Neural manifolds ; Connexionisme ; Neurosciència computacional ; Varietats neuronals



57 p, 2.1 MB

The record appears in these collections:
Research literature > Bachelor's degree final project > Psychology Faculty. TFG

 Record created 2022-02-16, last modified 2022-03-02



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