Even in the absence of external stimuli, the brain is spontaneously active. Indeed, most
cortical activity is internally generated by recurrence. Both theoretical and experimental …

Deep learning has attracted much attention in bearing fault diagnosis because of its high
precision and end-to-end modules. However, in real industrial scenarios, some complex …

The liquid state machine (LSM) is a reservoir computing paradigm and also a type of
recurrent spiking neural network, combining the core strengths of both spiking neural …

In this paper, we propose an optimization approach using Particle Swarm Optimization
(PSO) to enhance reservoir separability in Liquid State Machines (LSMs) for spatio-temporal …

The question" Can machines think?" and the Turing Test to assess whether machines could
achieve human-level intelligence is one of the roots of AI. With the philosophical argument" I …

Through the use of biofidelic spiking neural network models (SNNs), this work offers
mechanistic insights into the relationship between neocortical structure, dynamics, and …