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 …
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 …
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 …
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 …
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 …
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 …
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 …
The human brain efficiently processes information by analog integration of inputs and digital, binary communication. This fundamental design is captured in spiking neural network …
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 …