ePoster · Computational Neuroscience
Non-feedforward architectures enable diverse multisensory computations
Marcus Ghosh, Dan Goodman · Bernstein Conference 2024
Animals continuously merge information across their senses, and use these combined signals to guide their behaviour. In the brain, these multisensory computations are performed by circuits rich with complex connections like skips [1] - bypassing certain layers, and feedback pathways which allow information to flow from later (multisensory) to earlier (‘unisensory’) parts of the network [2]. However, pure-feedforward models have been shown to be optimal for many multisensory tasks [3,4], commonly used to test experimental subjects or computational models; raising the question, what role do non-