High-dimensional cortical signals reveal rich bimodal and working memory-like representations among S1 neuron populations
Sofie S. Kristensen,
Kaan Kesgin,
Henrik Jörntell
Abstract:Complexity is important for flexibility of natural behavior and for the remarkably efficient learning of the brain. Here we assessed the signal complexity among neuron populations in somatosensory cortex (S1). To maximize our chances of capturing population level signal complexity, we used highly repeatable resolvable visual, tactile and visuo-tactile inputs and neuronal unit activity recorded at high temporal resolution. We found the state space of the spontaneous activity to be extremely high-dimensional in … Show more
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