Contribution of non-sensory neurons in visual cortical areas to visually guided decisions in the rat

Osako, Yuma; Ohnuki, Tomoya; Tanisumi, Yuta; Shiotani, Kazuki; Manabe, Hiroyuki; Sakurai, Yoshio; Hirokawa, Junya

doi:10.1016/j.cub.2021.03.099

Cited by 24 publications

(35 citation statements)

References 65 publications

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“…This finding suggests that non-classically responsive cells play important yet generally underappreciated roles in perception and behavior 15 . This work is consistent with other recent findings demonstrating that neurons in rat primary visual and parietal cortex can encode sensory and non-sensory factors related to movement, reward history, and decision making 3 . Similarly, a recent study on sequential memory in humans found that both strongly-tuned and weakly-tuned neurons recorded from the medial temporal lobe participated in theta-phase-locked encoding of sequence stimuli 30 .…”

Section: Introductionsupporting

confidence: 93%

“…Various spiking patterns have been documented throughout brain regions in response to different sensory inputs, in relation to decision making, motor actions, or other task-related signals. The extent of spiking and receptive field heterogeneity is vast, with numerous types of neuronal responses found in many brain areas including visual cortex [1][2][3][4] , auditory cortex [5][6][7][8][9][10][11] , somatosensory cortex 12 , parietal cortex 3,13,14 , frontal cortex [14][15][16][17][18] , hypothalamus [19][20][21] , hippocampus [22][23][24] , and the ventral tegmental area 25,26 correlated with sensory, motor, choice, and other task-related signals 1,3,10,[13][14][15]27,28 . These neurons are often described as tuned, untuned, classically responsive, non-classically responsive, mixed selective, or category-free 13,15,17,29 .…”

Section: Introductionmentioning

confidence: 99%

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Contributions and synaptic basis of diverse cortical neuron responses to task performance

Insanally

Albanna

Toth

et al. 2022

Preprint

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Neuronal responses during behavior are diverse, ranging from highly reliable 'classical' responses to irregular or seemingly-random 'non-classically responsive' firing. While a continuum of response properties is frequently observed across neural systems, little is known about the synaptic origins and contributions of diverse response profiles to network function, perception, and behavior. Here we use a task-performing, spiking recurrent neural network model incorporating spike-timingdependent plasticity that captures heterogeneous responses measured from auditory cortex of behaving rodents. Classically responsive and non-classically responsive model units contributed to task performance via output and recurrent connections, respectively. Excitatory and inhibitory plasticity independently shaped spiking responses and task performance. Local patterns of synaptic inputs predicted spiking response properties of network units as well as the responses of auditory cortical neurons from in vivo whole-cell recordings during behavior. Thus a diversity of neural response profiles emerges from synaptic plasticity rules with distinctly important functions for network performance.

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Section: Introductionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Contributions and synaptic basis of diverse cortical neuron responses to task performance

Insanally

Albanna

Toth

et al. 2022

Preprint

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“…The surgical procedures were almost identical to those reported in previous studies ( Ohnuki et al, 2020 ; Osako et al, 2021 ; Takamiya et al, 2021 ). Rats were anesthetized with 2.5% isoflurane before surgery, which was maintained throughout the surgical procedure.…”

Section: Methodssupporting

confidence: 54%

Auditory Cortex Neurons Show Task-Related and Learning-Dependent Selectivity toward Sensory Input and Reward during the Learning Process of an Associative Memory Task

Takamiya

Shiotani

Ohnuki

et al. 2022

eNeuro

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The activity of primary auditory cortex (A1) neurons is modulated not only by sensory inputs but also by other task-related variables in associative learning. However, it is unclear how A1 neural activity changes dynamically in response to these variables during the learning process of associative memory tasks. Therefore, we developed an associative memory task using auditory stimuli in rats. In this task, rats were required to associate tone frequencies (high and low) with a choice of ports (right or left) to obtain a reward. The activity of A1 neurons in the rats during the learning process of the task was recorded. A1 neurons increased their firing rates either when the rats were presented with a high or low tone (frequency-selective cells) before they chose either the left or right port (choice-direction cells), or when they received a reward after choosing either the left or right port (reward-direction cells). Furthermore, the proportion of frequency-selective cells and reward-direction cells increased with task acquisition and reached the maximum level in the last stage of learning. These results suggest that A1 neurons have task- and learning-dependent selectivity toward sensory input and reward when auditory tones and behavioral responses are gradually associated during task training. This selective activity of A1 neurons may facilitate the formation of associations, leading to the consolidation of associative memory.

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“…The surgical procedure was almost identical to that of previous studies (Ohnuki et al, 2020;Osako et al, 2021). Rats were anesthetized with 2.5% isoflurane before surgery and were maintained throughout the surgical procedure.…”

Section: Surgerymentioning

confidence: 99%

Hippocampal CA1 Neurons Represent Positive Feedback During the Learning Process of an Associative Memory Task

Takamiya

Shiotani

Ohnuki

et al. 2021

Front. Syst. Neurosci.

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The hippocampus is crucial for forming associations between environmental stimuli. However, it is unclear how neural activities of hippocampal neurons dynamically change during the learning process. To address this question, we developed an associative memory task for rats with auditory stimuli. In this task, the rats were required to associate tone pitches (high and low) and ports (right and left) to obtain a reward. We recorded the firing activity of neurons in rats hippocampal CA1 during the learning process of the task. As a result, many hippocampal CA1 neurons increased their firing rates when the rats received a reward after choosing either the left or right port. We referred to these cells as “reward-direction cells.” Furthermore, the proportion of the reward-direction cells increased in the middle-stage of learning but decreased after the completion of learning. This result suggests that the activity of reward-direction cells might serve as “positive feedback” signal that facilitates the formation of associations between tone pitches and port choice.

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Contribution of non-sensory neurons in visual cortical areas to visually guided decisions in the rat

Cited by 24 publications

References 65 publications

Contributions and synaptic basis of diverse cortical neuron responses to task performance

Contributions and synaptic basis of diverse cortical neuron responses to task performance

Auditory Cortex Neurons Show Task-Related and Learning-Dependent Selectivity toward Sensory Input and Reward during the Learning Process of an Associative Memory Task

Hippocampal CA1 Neurons Represent Positive Feedback During the Learning Process of an Associative Memory Task

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