Neuronal correlate of visual associative long-term memory in the primate temporal cortex

By Yasushi Miyashita. 1988

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Citations in the corpus

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, positive): “There is considerable evidence from physiology and psychophysics that the brain employs a temporal-association strategy of this sort [35, 56, 12, 30, 57, 31].”
Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet (2012, background): “[The prolonged firing of inferior temporal cortex neurons during memory delay periods of several seconds, and associative links reported to develop between stimuli presented several seconds apart (Miyashita, 1988) are on too long a time scale to be immediately relevant to the present theory.”
If deep learning is the answer, what is the question? (2020, background): “These neural codes for high-level concepts can form when different features, objects or locations are repeatedly associated in space or time, for example through Hebbian learning 97 .”
Perceptual History Influences Neural Responses to Face and Body Postures (2003, methodology): “However, studies of delayed matching-to-sample (Miller, Li, & Desimone, 1993; Miyashita, 1988) and paired-association tasks (Naya, Sakai, & Miyashita, 1996; Sakai & Miyashita, 1991) have shown that neurons in the macaque anterior temporal cortex can acquire stimulus selectivity through learning and…”
Sparse but not ‘ Grandmother-cell ’ coding in the medial temporal lobe (2008, unknown): “68–71 42 Miyashita, Y. et al. (1989) Activity of hippocampal formation neurons in the monkey related to a conditional spatial response task.”
Complementary roles of dimensionality and population structure in neural computations (2020, methodology): “As a second example of a task requiring flexible stimulus processing, we considered the delay-match-tosample task [Miyashita, 1988; Engel and Wang, 2011; Chaisangmongkon et al., 2017], where two stimuli were presented interleaved by a delay period, and the network was trained to indicate in each tri”
Neurocomputational models of working memory (2000, background): “Moreover, if a stimulus is not sufficiently similar to any of the previously learned patterns, activity should decay after removal of the stimulus to the spontaneous level, as may indeed occur in some brain regions or task context”
Persistent Activity in Neural Networks with Dynamic Synapses (2007, unknown): “, [1–4]).”
Rethinking infant knowledge: toward an adaptive process account of successes and failures in object permanence tasks. (1997, background): “Miyashita (Miyashita, 1988; Miyashita & Chang, 1988) described neurons in inferotemporal cortex that selectively code for visible stimuli.”
A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex (2005, result): “The notion of a temporal association between a sequence of inputs seems consistent – as pointed out by Stryker [Stryker, 1991; Földiák, 1998; Giese and Poggio, 2003] – with a study by Myashita, who showed, that training a monkey with a fixed sequence of image patterns lead to a correlated activity b”