W57: BAY E S I A N I N F E R E N C E F O R S P I K I N G N E U RO N M O D E L S W I T H A S PA R S I T Y P R I O R
S E BA S T I A N G E RW I N N , JA KO B M AC K E , M AT T H I A S S E E G E R , M AT T H I A S B E T H G E

Neuron 1

Neuron 2

P (spike|stimulus, history) = Generalized Linear Model + Sparse Prior +Approximative Inference

Neuron n

(Expectation Propagation) Model-Based Confidence Intervals ("Error bars")

Receptive Fields

Couplings

C O M P U TAT I O NA L V I S I O N & N E U RO S C I E N C E G RO U P

MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS