Learning Shapes Cortical Dynamics to Enhance Integration of Relevant Sensory Input

Chadwick, Angus; Khan, Adil G.; Poort, Jasper; Blot, Antonin; Hofer, Sonja B.; Mrsic-Flogel, Thomas D.; Sahani, Maneesh

doi:10.2139/ssrn.3898781

Cited by 1 publication

(4 citation statements)

References 74 publications

(104 reference statements)

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“…However, we reasoned that neither of these standard cost functions may be appropriate for understanding PFC function. The cue-delay cost is well justified when stimuli need to be decoded potentially instantaneously after cue onset, and as such it is most relevant for sensory areas 56 . Conversely, the after-go-time cost may be most directly relevant for motor areas, by only requiring stable coding during the short response period 64 .…”

Section: Resultsmentioning

confidence: 99%

“…A number of recent studies of neural network dynamics have analysed the relationship between the direction of inputs and the magnitude of responses they evoke 50,54,56,59 . However, these studies focused on networks with transient dynamics, such as those relevant for perception 56 , or motor control 50,59 . In particular, Ref.…”

Section: Discussionmentioning

confidence: 99%

“…In symmetric networks, the most amplifying mode is aligned with the most persistent mode (Fig. 3b; top) 55,56 , and thus does not generate activity transients (Fig. 3c; top)-accounting for the simple pattern completion dynamics seen in classical attractor networks with symmetric connectivity 5,7,27,29,31,33,34,42,43 (Fig.…”

Section: Dynamical Analysis Of Optimal Information Loadingmentioning

confidence: 99%

“…2g-l). Thus, there is a form of 'speed-accuracy' trade-off between whether inputs should use the most amplifying or persistent mode: if information is required immediately following stimulus offset, such as in a perceptual decision-making task 13,40,56 , inputs need to use the persistent mode. However, if there is a time delay until the information is needed, as is the case in all working memory tasks 2,58 , then the most amplifying mode becomes the optimal input direction.…”

Section: Dynamical Analysis Of Optimal Information Loadingmentioning

confidence: 99%

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Optimal information loading into working memory in prefrontal cortex explains dynamic coding

Stroud

Watanabe

Suzuki

et al. 2021

Preprint

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Working memory involves the short-term maintenance of information and is critical in many tasks1. The neural circuit mechanisms underlying this information maintenance are thought to rely on persistent activities2,3 resulting from attractor dynamics4,5. However, how information is loaded into working memory for subsequent maintenance remains poorly understood. A pervasive assumption is that information loading requires inputs that are similar to the persistent activities expressed during maintenance6–9. Here, we show through mathematical analysis and numerical simulations that optimal inputs are instead largely orthogonal to persistent activities and naturally generate the rich transient dynamics characteristic of prefrontal cortex (PFC) during working memory10–17. By analysing recordings from monkeys performing a memory-guided saccade task, and using a novel, theoretically principled metric, we show that PFC exhibits the hallmarks of optimal information loading. Our theory unifies previous, seemingly conflicting theories of memory maintenance based on attractor8,9,18–20 or purely sequential dynamics21–23, and reveals a normative principle underlying the widely observed phenomenon of dynamic coding in PFC10–12,15–17,24. These results suggest that optimal information loading may be a key component of attractor dynamics characterising various cognitive functions and cortical areas, including long-term memory25,26 and navigation27,28 in the hippocampus, and decision making in the PFC19,20,29,30.

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Section: Resultsmentioning

confidence: 99%