A key requirement facing organisms acting in uncertain dynamic environments is the real-time estimation and prediction of environmental states, based on which effective actions can be selected. While it is becoming evident that organisms employ exact or approximate Bayesian statistical calculations for these purposes, it is far less clear how these putative… (More)
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to continuously estimate the environmental state, integrate information from multiple sensory modalities, form predictions and choose actions. What is less clear is how these putative… (More)
A key requirement facing organisms, or agents in general, acting in uncertain dynamic environments is the real-time estimation and prediction of environmental states, based upon which effective actions can be selected. In this work we show how an agent may use a simple real time neural network, receiving noisy multisensory input signals, to solve these… (More)
 Lior Aronshtam and Nathan Linial. The threshold for d-collapsibility in random complexes*.ishing of top homology in random simplicial complexes.  Omer Bobrowski and Matthew Kahle. Topology of random geometric complexes: a survey.  Omer Bobrowski and Sayan Mukherjee. The topology of probability distributions on manifolds.