A functional microcircuit for cat visual cortex.
By R. Douglas, Kevan A. C. Martin. 1991
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Olaf Sporns
- Yoshua Bengio
- Minjoon Kouh
- Matteo Carandini
- Karl J. Friston
- Thomas Serre
- J. Urgen Schmidhuber
- Tomaso A. Poggio
Citations in the corpus
- Normalization as a canonical neural computation (2011, background): “Anatomical evidence suggests the existence of canonical microcircuits that are replicated across brain areas, for example, across regions of the cerebral corte”
- Artificial neural networks in hardware: A survey of two decades of progress (2010, unknown): “Cortical neurons [160,161] whose major mode of operation is analog can compute reliably even with the precision limitation of analog operations owing to their organization into populations in which a signal at each neuron is restored to an appropriate analog value according to some collective strate”
- Development and plasticity of cortical areas and networks (2001, background): “whose activity is amplified by local intracortical connection”
- Theory of cortical function (2017, background): “Anatomical evidence suggests the existence of canonical microcircuits that are replicated across cortical areas (24, 25).”
- Coding of color and form in the geniculostriate visual pathway (invited review). (2005, background): “Anatomical analysis suggests that recurrent excitatory connections function as a cortical amplifier that enhances relatively weak signals arriving from thalamus.(175,219,220) Suitably configured, this circuit could be coordinated with recurrent inhibition not only to amplify but also to enhance the ”
- Bayesian inference with probabilistic population codes (2006, unknown): “Recursive schemes map very naturally onto the stereotyped nature of cortical microcircuitr”
- Toward a Complementary Neuroscience: Metastable Coordination Dynamics of the Brain (2009, background): “There are several spatial scales at which the collective behavior of the brain spontaneously expresses periodic oscillations [83], [84], [85], [86], [87] and represents the combined contribution of groups of neurons, the joint action of which is adequate to establish transfer of information [88], [8”
- Generalization in vision and motor control (2004, background): “Various neural circuits have been proposed to implement the key normalization stage, although the motivation behind the suggestions was to account for gain control and not tuning propertie”
- Canonical microcircuits for predictive coding. (2012, unknown): “Distinct (laminar-specific) neuronal responses (Douglas et al., 1989; Douglas and Martin, 1991).”
- A large-scale circuit mechanism for hierarchical dynamical processing in the primate cortex (2015, unknown): “…from area A to area B is measured by the Fraction of Labeled Neurons (FLN), defined as the number of neurons (labeled by the tracer) projecting from area A to area B divided by the total number of neurons projecting to area B from all other areas (see Experimental Procedures for more details).”
- Engineering a Less Artificial Intelligence. (2019, background): “Cortical microcircuits comprise many genetically and functionally distinct cell types (Douglas and Martin, 1991; Jiang et al., 2015) that may perform operations like gating, homeostatic regulation, divisive normalization, and more sophisticated operations.”
- The graphical brain: Belief propagation and active inference (2017, background): “…captures the forward (generally excitatory) intrinsic connectivity from granular, to supragranular, to infra-granular populations that characterize the canonical cortical microcircuit (Bastos et al., 2012; Douglas & Martin, 1991; Haeusler & Maass, 2007; Heinzle, Hepp, & Martin, 2007; Shipp, 2016).”