Neuromorphic encoding strategies for a noisy magnetic sense


Abstract:

While accurate engineered solutions to determine global position require vast networks of well‑maintained transponder stations, many animals can solve this problem using only Earth’s magnetic field. Moreover, animals are capable of this feat despite evidence suggesting that the magnetic sense operates at an extremely low signal‑to‑noise ratio. As such, this sense may provide valuable insights for the engineer. Here, we explore neuromorphic encoding strategies that may underlie this ability in animals and test their ability to accurately encode noisy magnetic information. We describe sparse encoding strategies that may function in this sense, with systems composed of as few as eight receptors and tens of neurons. We also find that neural architecture based on the arthropod central complex (implicated in other orientation tasks) is particularly robust to encoding noisy magnetic field information.

Año de publicación:

2025

Keywords:

  • Computational biology
  • magnetic sense
  • magnetoreception
  • neuromorphic processing
  • sensory noise

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Fisiología
  • Ciencias de la computación
  • Inteligencia artificial

Áreas temáticas de Dewey:

  • Fisiología humana
  • Sistemas fisiológicos específicos de los animales
  • Métodos informáticos especiales
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 11: Ciudades y comunidades sostenibles
  • ODS 14: Vida submarina
  • ODS 15: Vida de ecosistemas terrestres
Procesado con IAProcesado con IA