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How brains make chaos in order to make sense of the world
Recent “connectionist” models provide a new explanatory alternative to the digital computer as a model for brain function. Evidence from our EEG research on the olfactory bulb suggests that the brainExpand
The physiology of perception.
  • W. Freeman
  • Psychology, Medicine
  • Scientific American
  • 1 February 1991
The brain transforms sensory messages into conscious perceptions almost instantly Chaotic, collective activity involving millions of neurons seems essential for such rapid recognition.
How Brains Make Up Their Minds
How do we exercise our will? The erosion of Descartes' concept of the soul in the machine by recent developments in neuroscience leaves us with the challenge of understanding how we control ourExpand
Spatial spectra of scalp EEG and EMG from awake humans
Spatial spectral peaks suggest that optimal scalp electrode spacing might be approximately 1cm to capture non-local EEG components having the texture of gyri, as an alternative to network approaches that decompose EEG into localized, modular signals for correlation and coherence. Expand
Neurodynamics: An Exploration in Mesoscopic Brain Dynamics
  • W. Freeman
  • Mathematics, Computer Science
  • Perspectives in Neural Computing
  • 30 March 2000
The dynamics of neural interaction and transmission, including spatial mapping of evoked brain potentials and EEGs to 27 define population state variables, and the use of behavioral correlates to optimize filters for gamma AM pattern classification are discussed. Expand
Simulation of chaotic EEG patterns with a dynamic model of the olfactory system
  • W. Freeman
  • Mathematics, Medicine
  • Biological Cybernetics
  • 1 May 1987
The main parts of the central olfactory system are the bulb, anterior nucleus, and prepyriform cortex, which consist of a mass of excitatory or inhibitory neurons modelled in its noninteractive state by a 2nd order ordinary differential equation having a static nonlinearity. Expand
Societies of Brains: A Study in the Neuroscience of Love and Hate
Contents: Prologue. Brains and Minds. Nerve Energy and Neuroactivity. Sensation and Perception. Intention and Movement. Intentional Structure and Thought. Learning and Unlearning. Self and Society.
Consciousness, Intentionality, and Causality
To explain how stimuli cause consciousness, we have to explain causality. We can't trace linear causal chains from receptors after the first cortical synapse, so we use circular causality to explainExpand
Those classical models are reviewed that are most widely used by neurobiologists to explain the dynamics of neurons and neuron populations, and by modelers to implement artificial neural networks. ...
Spatial spectral analysis of human electrocorticograms including the alpha and gamma bands
The one-dimensional spatial spectrum of the human ECoG was calculated at successive time samples and averaged over periods of up to 20 s, and revealed broad spectrum oscillations in episodic bursts having a common aperiodic wave form with recurring patterns of spatial amplitude modulation (AM patterns) on selected portions of the array. Expand