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researcher

J. Jost

63 papers hereh-index 457.3k citations394 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author21
  • middle author11
  • last author30

Across the 62 of 63 papers where every author was matched, so the position is known.

fields
  • math.DG16
  • math.AP6
  • cs.IT5
  • nlin.CD5
  • q-bio.NC4
  • cs.CL3
same name
  • J. Jost — 47 papers, h 27
  • J. Jost — 37 papers, h 18
  • J. Jost — 32 papers, h 37
  • J. Jost — 8 papers, h 13
  • J. Jost — 5 papers, h 4
  • J. Jost — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19972025
most citedQuantifying unique information

293 citations · 1.2k across the 62 of their papers we have counts for

collaborators
Showing q-bio.NCShow all

4 papers · 1 filter

q-bio.NC2019

Synaptic Time-Dependent Plasticity Leads to Efficient Coding of Predictions

Pau Vilimelis Aceituno, Masud Ehsani, Jürgen Jost

Latency reduction of postsynaptic spikes is a well-known effect of Synaptic Time-Dependent Plasticity. We expand this notion for long postsynaptic spike trains, showing that, for a…

q-bio.NC2014

Natural statistics of binaural sounds

Wiktor Młynarski, Jürgen Jost

Binaural sound localization is usually considered a discrimination task, where interaural time (ITD) and level (ILD) disparities at pure frequency channels are utilized to identify…

q-bio.NC2012★ 39 cited

Analysis of inverse stochastic resonance and the long-term firing of Hodgkin-Huxley neurons with Gaussian white noise

Henry C. Tuckwell, Jürgen Jost

In previous articles we have investigated the firing properties of the standard Hodgkin-Huxley (HH) systems of ordinary and partial differential equations in response to input curr…

q-bio.NC2010★ 21 cited

STDP-driven networks and the \emph{C. elegans} neuronal network

Quansheng Ren, Kiran M. Kolwankar, Areejit Samal +1

We study the dynamics of the structure of a formal neural network wherein the strengths of the synapses are governed by spike-timing-dependent plasticity (STDP). For properly chose…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.