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Informal Discussion of Topics

... create information when introduced to human neural networks. The spontaneous creation of new information is the essential function of psychedelic activation, and this new information is imprinted into memory and reproduced as music, art, or sto...

Conclusions and Discussion

... States of nonlinear organization in neural networks can be controlled through energetic periodic drivers, such as music, singing, chanting, and dancing; making psychedelic consciousness multi-stable along a range of complex output gener...

Wavelets, vision and the statistics of natural scenes

... structure available in the input. Studies with neural networks that attempt to maximize the ‘sparsity’ of the representation have been shown to produce vectors (neural receptive fields) that have many of the properties of a wavelet rep...

Limits of Human Perception

Any discussion of psychedelic hallucination is a discussion of the spontaneous emergence of perceptual information within human consciousness. Human perception is limited by the capacity of sense organs (Fig. 1); the speed and architecture of the neu...

Psychedelic Information Theory

... the flow of novel information through human neural networks. The study of this information process is known as Psychedelic Information Theory.   ...

Cortical Region Interactions and the Functional Role of Apical Dendrites

The basal and distal apical dendrites ofpyramidal cells occupy distinct cortical layers and are targeted by axons originating in different cortical regions. Hence, apical and basal dendrites receive information from distinct sources. Physiological ev...

Dynamical consequences of fast-rising, slow-decaying synapses in neuronal networks

Synapses that rise quickly but have long persistence are shown to have certain computational advantages. They have some unique mathematical properties as well and in some instances can make neurons behave as if they are weakly coupled oscillators. Th...

A mathematical theory of visual hallucination patterns

Neuronal activity in a two-dimensional net is analyzed in the neighborhood of an instability. Bifurcation theory and group theory are used to demonstrate the existence of a variety of doublyperiodic patterns, hexagons, rolls, etc., as solutions to th...

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