activity
20102018
most citedAdaptation Reduces Variability of the Neuronal Population Code

53 citations · 77 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NE2018

Reliable counting of weakly labeled concepts by a single spiking neuron model

Hannes Rapp, Martin Paul Nawrot, Merav Stern

Making an informed, correct and quick decision can be life-saving. It's crucial for animals during an escape behaviour or for autonomous cars during driving. The decision can be co…

stat.ML2013★ 6 cited

Temporal Autoencoding Improves Generative Models of Time Series

Chris Häusler, Alex Susemihl, Martin P Nawrot +1

Restricted Boltzmann Machines (RBMs) are generative models which can learn useful representations from samples of a dataset in an unsupervised fashion. They have been widely employ…

q-bio.NC2012

Odor response features of projection neurons and local interneurons in the honeybee antennal lobe

Anneke Meyer, Giovanni Galizia, Martin P. Nawrot

Local computation in microcircuits is an essential feature of distributed information processing in vertebrate and invertebrate brains. The insect antennal lobe represents a spatia…

q-bio.NC2012★ 2 cited

Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation

Farzad Farkhooi, Anja Froese, Eilif Muller +2

Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomen…

physics.bio-ph2010★ 7 cited

Fast dynamics of odor rate coding in the insect antennal lobe

Martin Paul Nawrot, Sabine Krofczik, Farzad Farkhooi +1

Insects identify and evaluate behaviorally relevant odorants in complex natural scenes where odor concentrations and mixture composition can change rapidly. In the honeybee, a comb…

physics.bio-ph2010★ 9 cited

Sequential Sparsening by Successive Adaptation in Neural Populations

Farzad Farkhooi, Eilif Muller, Martin P. Nawrot

In the principal cells of the insect mushroom body, the Kenyon cells (KC), olfactory information is represented by a spatially and temporally sparse code. Each odor stimulus will a…

physics.bio-ph2010★ 53 cited

Adaptation Reduces Variability of the Neuronal Population Code

Farzad Farkhooi, Eilif Muller, Martin P. Nawrot

Sequences of events in noise-driven excitable systems with slow variables often show serial correlations among their intervals of events. Here, we employ a master equation for gene…