We propose the Chaos-State Space Dream Model (CSSDM): a candidate neural correlate of dream consciousness. CSSDM treats dreaming as the brain's exploration of hierarchically organized attractor landscapes when sensory anchoring lifts and prefrontal control attenuates during REM sleep. The proposal combines two published frameworks. From chaos-theoretic accounts of dream phenomenology, we take...
Consciousness science has generated diverse theoretical frameworks, each offering insights into different aspects of conscious experience. However, this diversity has created a fractured landscape: theories operate at different explanatory levels, and a principled account of how conscious phenomena arise from specific neural computations remains largely absent. This work argues that State Space...
The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be "unfolded" into a functionally equivalent feedforward neural network (FNN) with identical input-output behavior. Subsequent debate has focused on dynamical properties and philosophy of science critiques. We examine a boundary...