3 papers
q-bio.NC2020
Biological credit assignment through dynamic inversion of feedforward networks
William F. Podlaski, Christian K. Machens
Learning depends on changes in synaptic connections deep inside the brain. In multilayer networks, these changes are triggered by error signals fed back from the output, generally…
q-bio.NC2017
Learning to represent signals spike by spike
Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi +2
A key question in neuroscience is at which level functional meaning emerges from biophysical phenomena. In most vertebrate systems, precise functions are assigned at the level of n…
q-bio.NC2013
Percept formation from neural populations in sensory decision-making tasks
Adrien Wohrer, Christian K. Machens
We study a standard linear readout model of perceptual integration from a population of sensory neurons. We show that the readout can be associated to a set of characteristic equat…