Benefits of noise in the transmission and processing of time-dependent stimuli by populations of sensory neurons

• Applicant: Professor Dr. Benjamin Lindner
• Subject Area: Cognitive, Systems and Behavioural Neurobiology ; Bioinformatics and Theoretical Biology
• Term: from 2014 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 250455001

• Final Report Year: 2022

Final Report Abstract

No abstract available

Publications

• Information filtering by coincidence detection of synchronous population output: Analytical approaches to the coherence function of a two-stage neural system. Biol. Cybern. 114, 403 (2020)
  Z. Bostner, G. Knoll, and B. Lindner
  (See online at https://doi.org/10.1007/s00422-020-00838-6)
• Recurrence-mediated Suprathreshold Stochastic Resonance. J. Comp. Neurosci. 49, 407 (2021)
  G. Knoll and B. Lindner
  (See online at https://doi.org/10.1007/s10827-021-00788-3)
• Critical current for giant Fano factor in neural models with bistable firing dynamics and implications for signal transmission. Phys. Rev. E 105 014416 (2022)
  R. Kullmann, G. Knoll, D. Bernardi and B. Lindner
  (See online at https://doi.org/10.1103/physreve.105.014416)
• Information Transmission in Recurrent Networks: Consequences of network noise for synchronous and asynchronous signal encoding. Phys. Rev. E 105 044411 (2022)
  G. Knoll and B. Lindner
  (See online at https://doi.org/10.1103/physreve.105.044411)