Assessment of Cooperative Firing in Groups of Neurons: Special Concepts for Multiunit Recordings from the Visual System
Progress in elucidating the cellular basis of visual perception has always depended on relating structure to function. At present, structure-function problems confront the field of cortical neurophysiology with the following types of questions: (a) what are the intrinsic dynamic operations in a local cortical module and what is its relevance for visual perception; (b) what are the principles of sensory processing within a single cortical area with its laminae, columns, and slabs; (c) what is the function of the distributed systems connecting the multiple visual areas? These problems are inherently population problems; i.e., to answer these questions, the dynamic interactions of neuron groups have to be studied. In our Marburg group we have developed (a) techniques for recording the spike trains from up to 19 single units; (b) computeraided procedures for the simultaneous visual stimulation of several units; and (c) real-time correlation methods to assess cooperative firing in groups of neurons.
KeywordsSpike Train Simple Cell Neuron Group Stimulus Period Simple Unit
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- Eckhorn R, Habbel C, Krause F, Lohmann H, Reitboeck HJ, Schneider J (1984) Multiunit recordings from the visual system require special concepts. Neled [Suppl] 18: 164Google Scholar
- Gilbert C, Wiesel T, Ts’o D (1985) Clustered intrinsic connections and functional architecture of the visual system. Invest Ophthalmol Vis Sci [Suppl] 26: 133Google Scholar
- Habbel C, Eckhorn R (1985) Automatic search for effective stimuli for units of the cat’s visual cortex. Neled [Suppl] 22: 203Google Scholar
- Krause F, Eckhorn R, Habbel C (1984) Two types of direction selective mechanisms in simple units revealed by Receptive Field Cinematograms. Eur J Physiol [Suppl] 402: R51Google Scholar
- Reitboeck HJ (1983b) A 19-channel matrix drive with individually controllable fiber microelectrodes for neurophysiological applications. IEEE Trans Syst Man Cybern 13: 676–683Google Scholar
- Schneider J, Eckhorn R (1984) Real time correlator for neuronal assemblies. Neled [Suppl] 18: 412Google Scholar