Mechanisms of pattern decorrelation by recurrent neuronal circuits

By M. T. Wiechert, Benjamin Judkewitz, Hermann Riecke, Rainer W. Friedrich. 2010

139 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. N. A. Cayco-Gajic
2. R. Silver
3. Brent Doiron
4. Hermann Riecke
5. Nathaniel N. Urban

In Cognitive Neuroscience

1. N. A. Cayco-Gajic
2. R. Silver
3. Brent Doiron
4. Hermann Riecke

Citations in the corpus

• Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “Theoretical work has shown that adding random sparse recurrent excitatory or inhibitory connections can amplify threshold-mediated decorrelation by adding high-variance synaptic input that makes neural responses more distinct (Wiechert et al., 2010).”
• Cortical feedback decorrelates olfactory bulb output in awake mice (2015, background): “Decorrelation of ensemble neuronal responses in early sensory circuits has been proposed as a mechanism for separation of similar input patterns by downstream circuits (Laurent, 2002; Vinje and Gallant, 2000; Wiechert et al., 2010).”
• Parvalbumin-expressing interneurons linearly control olfactory bulb output (2013, unknown): “Reciprocal interactions between mitral cells and inhibitory neurons in the olfactory bulb are also proposed to contribute to the decorrelation of mitral cell activity patterns (Arevian et al., 2008; Koulakov and Rinberg, 2011; Wiechert et al., 2010).”
• Timescale-dependent shaping of correlation by olfactory bulb lateral inhibition (2011, background): “Two kinds of correlations are often considered in analyzing sensory processing (13): channel correlations (withintrial correlations between pairs of neurons) and pattern correlations (across-trial correlations between the population activity evoked by different stimuli).”
• Neurogenesis Drives Stimulus Decorrelation in a Model of the Olfactory Bulb (2012, background): “connections across large portions of the bulb [3].”
• Optimal degrees of synaptic connectivity (2017, unknown): “Many studies have shown that inhibition can decorrelate neural activity (Ecker et al., 2010; Renart et al., 2010; Wiechert et al., 2010), so we next investigate whether inhibition can increase dimension by reducing correlations among mixed-layer neurons.”