Principles of neural science

By J. D. Jong. 1986

Subfields: Neuroscience

Citations in the corpus

Perceiver: General Perception with Iterative Attention (2021, neutral): “…units with a high-ﬁdelity representation of position and modality, similar to the labeled lined strategy used to construct topographic and cross-sensory maps in biological neural networks by associating the activity of a speciﬁc unit with a semantic or spatial location (Kandel et al. 2012, Ch. 21).”
A century of generalization (2003, unknown): “…the case of sound frequency gradients appear most symmetrical on a logarithmic frequency scale, in keeping with physiological evidence that sound frequency must change exponentially to yield changes in activation patterns of constant magnitude in the ear (Coren et al., 1999; Kandel et al., 1991).”
Image Classification Using Generative Neuro Evolution for Deep Learning (2015, unknown): “While the human brain includes trillions of connections [14, 30], traditional NE approaches produce networks significantly smaller in size [29, 23].”
Cognitive Perspectives on SLA: The Associative-Cognitive CREED (2006, unknown): “…constraints upon the usual networks of system-level connections and upon the broad timetable of maturation and myelination, but nevertheless the cortex of the brain is broadly equipotent in terms of the types of information it can represent (Elman et al. 1996; Kandel, Schwartz, & Jessell 2000).”
The Visual System's Internal Model of the World (2015, unknown): “Neurons do not fire simply based on the stimulus presented to their receptive fields, but depend on local and global contexts [30], [49], [50].”
Automatic segmentation of MR images of the developing newborn brain (2005, unknown): “(4) Each tissue type in newborn brain MRI exhibits significant levels of intensity inhomogeneity and variability, which may be due to a combination of RF inhomogeneity and biological properties of the developing tissue (Kandel et al., 2000).”
Computational principles of synaptic memory consolidation (2016, unknown): “The molecular machinery responsible for memory consolidation at the level of synaptic connections is believed to employ a complex network of diverse biochemical processes that operate on different timescales 1,2 .”
Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? (2003, unknown): “Most work has dealt with synchronization of oscillators whose topology of interaction has either the SF or SW [2, 17, 18, 19, 20, 21, 22, 23] property, showing that it leads to improved synchronizability when compared to local lattice topology.”
Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis (2013, unknown): “Our STG VOI is functionally characterized by language processing, which reflects its role as a posterior language and higher order visual processing area (Kandel et al., 2000).”
Continual Learning of Large Language Models: A Comprehensive Survey (2024, unknown): “Inspired by the incremental learning pattern observed in human brains [101, 153, 154, 175], CL trains machine learning models sequentially on a series of tasks with the expectation of maintaining performance across all tasks [57, 58, 113, 124].”