ePoster · Computational Neuroscience
Unraveling perceptual biases: Insights from spiking recurrent neural networks
Luis Serrano-Fernandez, Manuel Beiran, Nestor Parga · Bernstein Conference 2024
Exploring the origins of animal and human behavior within cortical circuits remains a puzzle awaiting resolution. It is established that when animals and humans compare two stimuli (d1 and d2) separated by a delay interval (Fig. 1a), their perception is influenced by a perceptual bias, characterized by a contraction in the perception of the first stimulus towards its distribution’s mean (highlighted in red in Fig. 1a). To shed light on this effect, recurrent neural networks (RNNs) of spiking neurons were trained, and their behavior and firing activity were examined in comparison to those obser