5 papers
Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints
Yuval Harel, Ron Meir
Optimality principles have been useful in explaining many aspects of biological systems. In the context of neural encoding in sensory areas, optimality is naturally formulated in a…
Optimal decoding of dynamic stimuli encoded by heterogeneous populations of spiking neurons - a closed form approximation
Yuval Harel, Ron Meir, Manfred Opper
Neural decoding may be formulated as dynamic state estimation (filtering) based on point process observations, a generally intractable problem. Numerical sampling techniques are of…
Learning an attention model in an artificial visual system
Alon Hazan, Yuval Harel, Ron Meir
The Human visual perception of the world is of a large fixed image that is highly detailed and sharp. However, receptor density in the retina is not uniform: a small central region…
Optimal Encoding and Decoding for Point Process Observations: an Approximate Closed-Form Filter
Yuval Harel, Ron Meir, Manfred Opper
The process of dynamic state estimation (filtering) based on point process observations is in general intractable. Numerical sampling techniques are often practically useful, but l…
An Analytically Tractable Bayesian Approximation to Optimal Point Process Filtering
Yuval Harel, Ron Meir, Manfred Opper
The process of dynamic state estimation (filtering) based on point process observations is in general intractable. Numerical sampling techniques are often practically useful, but l…