How many neurons are sufficient for perception of cortical activity?

HWP Dalgleish, LE Russell, AM Packer, A Roth… - Elife, 2020 - elifesciences.org
Many theories of brain function propose that activity in sparse subsets of neurons underlies
perception and action. To place a lower bound on the amount of neural activity that can be …

Control of criticality and computation in spiking neuromorphic networks with plasticity

B Cramer, D Stöckel, M Kreft, M Wibral… - Nature …, 2020 - nature.com
The critical state is assumed to be optimal for any computation in recurrent neural networks,
because criticality maximizes a number of abstract computational properties. We challenge …

A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation

D Bernardi, G Doron, M Brecht… - PLoS Computational …, 2021 - journals.plos.org
The stimulation of a single neuron in the rat somatosensory cortex can elicit a behavioral
response. The probability of a behavioral response does not depend appreciably on the …

Critical current for giant Fano factor in neural models with bistable firing dynamics and implications for signal transmission

R Kullmann, G Knoll, D Bernardi, B Lindner - Physical Review E, 2022 - APS
Bistability in the firing rate is a prominent feature in different types of neurons as well as in
neural networks. We show that for a constant input below a critical value, such bistability can …

Detecting single-cell stimulation in a large network of integrate-and-fire neurons

D Bernardi, B Lindner - Physical Review E, 2019 - APS
Several experiments have shown that the stimulation of a single neuron in the cortex can
influence the local network activity and even the behavior of an animal. From the theoretical …

Evoking prescribed spike times in stochastic neurons

J Doose, B Lindner - Physical Review E, 2017 - APS
Single cell stimulation in vivo is a powerful tool to investigate the properties of single
neurons and their functionality in neural networks. We present a method to determine a cell …

Receiver operating characteristic curves for a simple stochastic process that carries a static signal

D Bernardi, B Lindner - Physical Review E, 2020 - APS
The detection of a weak signal in the presence of noise is an important problem that is often
studied in terms of the receiver operating characteristic (ROC) curve, in which the probability …

Detecting Single-Cell Stimulation in Recurrent Networks of Integrate-and-Fire Neurons

D Bernardi - 2019 - edoc.hu-berlin.de
This thesis is a first attempt at developing a theoretical model of the experiments which show
that the stimulation of a single cell in the cortex can trigger a behavioral reaction and that …

Optimizing Spiking Neuromorphic Networks for Information Processing

B Cramer - 2021 - archiv.ub.uni-heidelberg.de
The human brain efficiently processes information by analog integration of inputs and digital,
binary communication. This fundamental design is captured in spiking neural network …

Coding of low-dimensional variables with spiking neural networks

V Koren - 2020 - depositonce.tu-berlin.de
Spikes, extremely precise temporal signals, are believed to be the main mean of
communication between neurons. However, it is at present unclear how can be the …