Cortical plasticity: from synapses to maps.
By Dean V. Buonomano, Michael M. Merzenich. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wulfram Gerstner
- D. Feldman
- Niels Birbaumer
- Friedemann Zenke
- Claudia Clopath
- Karl J. Friston
- György Buzsáki
- E. T. Rolls
Citations in the corpus
- Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008, background): “Second, on the level of neuronal representation in cortical areas, one finds representations of input features that are stable but at the same time sufficiently plastic to adjust to new situations [18].”
- Phantom percepts: Tinnitus and pain as persisting aversive memory networks (2011, background): “Topographic development and reorganization in all sensory areas of adult cortex are governed by similar/common mechanisms of synaptic plasticity (23), likely explaining the analogy between phantom pain and tinnitus.”
- Cognitive motor processes: the role of motor imagery in the study of motor representations. (2009, background): “The physiological basis might be associated with the phenomenon that cortical representations of the adult brain are not fixed but highly dynamic (Buonomano and Merzenich, 1998; Spitzer, 1999).”
- Plasticity and primary motor cortex. (2000, background): “Similar patterns of connections are present throughout neocortex, and as described earlier, activity-driven synaptic modification is a widespread phenomenon in the adult central nervous system (Kaas 1991, Donoghue 1995, Buonomano & Merzenich 1998).”
- Effects of memory training on cortical thickness in the elderly (2010, background): “Plasticity and reorganization of neural systems have recently been studied in both animals and humans (Buonomano and Merzenich, 1998; DeFelipe, 2006; Jones et al., 2006; Martin et al., 2000).”
- On the design of neural networks in the brain by genetic evolution. (2000, background): “For this, the genes might specify NMDA (N-methyl-D-aspartate) receptors on the post-synaptic neurons together with the linked intracellular processes that implement LTP (Rolls and Treves, 1998; Wang et al., 1997; Buonomano and Merzenich, 1998).”
- The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018, background): “…significantly constrain the location and mechanisms of spatial pattern discrimination; and (2) identification of neurons that respond selectivity to specific spatial patterns, and how neural tuning changes with learning (Buonomano and Merzenich, 1998; Karmarkar and Dan, 2006; Gilbert et al., 2009).”
- Synaptic modification by correlated activity: Hebb's postulate revisited. (2001, background): “…1973), similar synaptic potentiation has been found in many areas of the central and peripheral nervous systems of both vertebrates and invertebrates (Teyler & DiScenna 1987, Brown et al 1990, Bliss & Collingridge 1993, Buonomano & Merzenich 1998, Milner et al 1998, Malenka & Nicoll 1999).”
- An information integration theory of consciousness (2004, background): “What matters here is that such perceptual learning depends upon specific changes in the physical substrate of our consciousness – notably a refinement and rearranging of connections patterns among neurons in appropriate parts of the thalamocortical system (e.g [ 11 ]).”
- Experience-dependent structural synaptic plasticity in the mammalian brain (2009, background): “, a phenomenon that may underlie functional reorganization of cortical map”
- Incorporating Cross-Modal Statistics in the Development and Maintenance of Multisensory Integration (2012, background): “This period of multisensory maturation normally takes place over the first few months of life when the brain is highly plastic (Wiesel and Hubel, 1965; Simons and Land, 1987; Buonomano and Merzenich, 1998; Feldman, 2001; Rauschecker, 2002; Li et al., 2006; Sanes and Bao, 2009).”
- A theory of cortical responses (2005, background): “This is a large and fascinating field that ranges from molecules to maps (e.g. Buonomano & Merzenich 1998; Martin et al. 2000).”
- Connectivity reflects coding: a model of voltage-based STDP with homeostasis (2010, methodology): “(a) Normalized weight as a function of the number of postsynaptic spikes (1, 2, 3) at 50 Hz (dots represent data from ref.”