Glen D. Brown

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'Independent component analysis' is a technique of data transformation that finds independent sources of activity in recorded mixtures of sources. It can be used to recover fluctuations of membrane potential from individual neurons in multiple-detector optical recordings. There are some examples in which more than 100 neurons can be separated(More)
(1) Computational Neurobiology Laboratory, Howard Hughes Medical Institute The Salk Institute for Biological Studies; (2) Institute for Neural Computation, University of California San Diego, La Jolla CA; (3) Department of Biology, University of California San Diego, La Jolla CA. (4) Naval Health Research Center, San Diego CA; (5) Department of Medicine(More)
When repeatedly elicited, the oscillatory escape swim of the marine mollusc Tritonia diomedea undergoes habituation of the number of cycles per swim. Because the neural circuit for this behavior is reasonably well understood, a cellular analyses of habituation in Tritonia is feasible. Since such a study must ultimately relate cellular correlates to(More)
To understand the relationship between memory storage sites in the brain and learned changes in behavior, the learned behavior must be characterized. However, even simple types of learning may be quite complex. Repeated elicitation of the Tritonia swim produced multiple changes in the response. Several types of acquisition curves were observed in a single(More)
The role of nonassociative learning processes in determining whether or not a chemical stimulus will elicit the Tritonia diomedea swimming response was examined in a variety of conditioning experiments. Iterative presentation of a chemical stimulus resulted in a reduced swimming probability (SP). By the criteria of Thompson and Spencer (Thompson RF, Spencer(More)
Physiological studies of learning and memory often require reduced nervous system preparations that can be trained by stimulation of neural pathways in a manner that mimics behavioral training. In the isolated brain preparation of the seaslug Tritonia, fictive swimming can be activated with a few electrical pulses applied to the cut end of a nerve, and(More)
Independent Component Analysis (ICA) blindly separates mixtures of signals into individual components. Here we used ICA to isolate spike trains from individual neurons recorded optically in the Tritonia diomedea isolated brain. ICA removed several types of artifacts, allowed us to view an approximation of the membrane potential as opposed to the usual(More)
Independent component analysis (ICA) was used to separate action potential trains recorded with voltage-sensitive dyes in the isolated brain preparation of the seaslug Tritonia. It was assumed that the membrane potential of each neuron was an approximately independent source and that detectors (photodiodes) recorded linear mixtures of sources. These(More)
Nomenclature for simple types of learning is ambiguous and incomplete, as even commonly used terms such as 'habituation' and 'sensitization' are not applied consistently. One problem is a failure to distinguish between operational and theoretical constructs linguistically. Operational terminology for reporting behavioural results should be different from(More)
© Brown This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and redistribution in any medium, provided that the original author and source are credited. Whatever gets you through the night ‘salright, ‘salright...Don’t need a clock to waste your time oh no,(More)