Your browser doesn't support javascript.
loading
Exact Distribution of the Quantal Content in Synaptic Transmission.
Rijal, Krishna; Müller, Nicolas I C; Friauf, Eckhard; Singh, Abhyudai; Prasad, Ashok; Das, Dibyendu.
Affiliation
  • Rijal K; Department of Physics, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
  • Müller NIC; Animal Physiology Group, Department of Biology, University of Kaiserslautern, Kaiserslautern, Germany.
  • Friauf E; Animal Physiology Group, Department of Biology, University of Kaiserslautern, Kaiserslautern, Germany.
  • Singh A; Departments of Electrical and Computer Engineering, Biomedical Engineering and Mathematical Sciences, University of Delaware, Newark, Delaware 19716, USA.
  • Prasad A; Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, USA.
  • Das D; Department of Physics, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Phys Rev Lett ; 132(22): 228401, 2024 May 31.
Article in En | MEDLINE | ID: mdl-38877921
ABSTRACT
During electrochemical signal transmission through synapses, triggered by an action potential (AP), a stochastic number of synaptic vesicles (SVs), called the "quantal content," release neurotransmitters in the synaptic cleft. It is widely accepted that the quantal content probability distribution is a binomial based on the number of ready-release SVs in the presynaptic terminal. But the latter number itself fluctuates due to its stochastic replenishment, hence the actual distribution of quantal content is unknown. We show that exact distribution of quantal content can be derived for general stochastic AP inputs in the steady state. For fixed interval AP train, we prove that the distribution is a binomial, and corroborate our predictions by comparison with electrophysiological recordings from MNTB-LSO synapses of juvenile mice. For a Poisson train, we show that the distribution is nonbinomial. Moreover, we find exact moments of the quantal content in the Poisson and other general cases, which may be used to obtain the model parameters from experiments.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Synaptic Vesicles / Synaptic Transmission / Models, Neurological Limits: Animals Language: En Journal: Phys Rev Lett / Phys. rev. lett / Physical review letters Year: 2024 Type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Synaptic Vesicles / Synaptic Transmission / Models, Neurological Limits: Animals Language: En Journal: Phys Rev Lett / Phys. rev. lett / Physical review letters Year: 2024 Type: Article Affiliation country: India