LNC2
29 rue d'Ulm 75005 Paris France
Beiran, M. & Ostojic, S. (2019). Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks . PLoS Computational Biology, 15(3), e1006893
Beiran, M., Kruscha, A., Benda, J. & Lindner, B. (2018). Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations. Journal of computational neuroscience, 44(2), 189-202. doi:10.1007/s10827-017-0674-4
Tutor: Manuel Beiran (manuel.beiran - at – ens.fr) Time & place (2nd semester, 2017-2018): every Monday (10.30 - 12.30), salle Langevin, 29 rue d'Ulm (ENS) Next deadline : send report Ex.1 before March 12th, 9:30am
Tutor: Manuel Beiran (manuel.beiran - at – ens.fr)
Time & place (2nd semester, 2017-2018): every Monday (10.30 - 12.30), salle Langevin, 29 rue d'Ulm (ENS) Next deadline : send report Ex.1 before March 12th, 9:30am
March 5th: - Introduction to the course - Introduction to Python - Exercise set # 1March 12th: - Behavioural modeling: Rescorla-Wagner rule - Exercise set # 2Deadline: Exercise set #1March 19h: - Behavioural modeling: instrumental conditioning - Introduction to Numpy/ScipyMarch 26th: - Behavioural modeling: drift-diffusion model - Introduction to differential equationsApril 9th: - Neural variability and spike train statistics - Exercise set # 3Deadline: Exercise set #2April 16th: - Integrate-and-fire neuronsApril 23rd: - AdaptationApril 30th: - Firing rate models (1) - Exercise set # 4Deadline: Exercise set #3May 14th: - Firing rate models (2)May 28st - June 4th – June 11th: - Paper implementationDeadline 28th May: Exercise set #4June 18thDeadline: Paper report