Learning shapes cortical dynamics to enhance integration of relevant sensory input

被引:8
作者
Chadwick, Angus [1 ,2 ,3 ]
Khan, Adil G. [4 ]
Poort, Jasper [5 ]
Blot, Antonin [2 ]
Hofer, Sonja B. [2 ]
Mrsic-Flogel, Thomas D. [2 ]
Sahani, Maneesh [1 ]
机构
[1] UCL, Gatsby Computat Neurosci Unit, London, England
[2] UCL, Sainsbury Wellcome Ctr Neural Circuits & Behav, London, England
[3] Univ Edinburgh, Inst Adapt & Neural Computat, Sch Informat, Edinburgh, Scotland
[4] Kings Coll London, Ctr Dev Neurobiol, London, England
[5] Univ Cambridge, Dept Physiol, Dev & Neurosci, Cambridge, England
基金
瑞士国家科学基金会; 欧洲研究理事会; 英国惠康基金;
关键词
ORIENTATION SELECTIVITY; FISHER INFORMATION; POPULATION; RECURRENT; NOISE; DECISION; CORTEX; MODEL; MODULATION; PRINCIPLES;
D O I
10.1016/j.neuron.2022.10.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Adaptive sensory behavior is thought to depend on processing in recurrent cortical circuits, but how dynamics in these circuits shapes the integration and transmission of sensory information is not well understood. Here, we study neural coding in recurrently connected networks of neurons driven by sensory input. We show analytically how information available in the network output varies with the alignment between feedforward input and the integrating modes of the circuit dynamics. In light of this theory, we analyzed neural population activity in the visual cortex of mice that learned to discriminate visual features. We found that over learning, slow patterns of network dynamics realigned to better integrate input relevant to the discrimination task. This realignment of network dynamics could be explained by changes in excitatory-inhibitory connectivity among neurons tuned to relevant features. These results suggest that learning tunes the temporal dynamics of cortical circuits to optimally integrate relevant sensory input.
引用
收藏
页码:106 / +
页数:26
相关论文
共 77 条
  • [31] Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex
    Khan, Adil G.
    Poort, Jasper
    Chadwick, Angus
    Blot, Antonin
    Sahani, Maneesh
    Mrsic-Flogel, Thomas D.
    Hofer, Sonja B.
    [J]. NATURE NEUROSCIENCE, 2018, 21 (06) : 851 - +
  • [32] Principles of Corticocortical Communication: Proposed Schemes and Design Considerations
    Kohn, Adam
    Jasper, Anna, I
    Semedo, Joao D.
    Gokcen, Evren
    Machens, Christian K.
    Yu, Byron M.
    [J]. TRENDS IN NEUROSCIENCES, 2020, 43 (09) : 725 - 737
  • [33] The distinct modes of vision offered by feedforward and recurrent processing
    Lamme, VAF
    Roelfsema, PR
    [J]. TRENDS IN NEUROSCIENCES, 2000, 23 (11) : 571 - 579
  • [34] ON APPROXIMATIONS OF STEINS NEURONAL MODEL
    LANSKY, P
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 1984, 107 (04) : 631 - 647
  • [35] Linear transformation of thalamocortical input by intracortical excitation
    Li, Ya-tang
    Ibrahim, Leena A.
    Liu, Bao-hua
    Zhang, Li I.
    Tao, Huizhong Whit
    [J]. NATURE NEUROSCIENCE, 2013, 16 (09) : 1324 - U216
  • [36] Tuned thalamic excitation is amplified by visual cortical circuits
    Lien, Anthony D.
    Scanziani, Massimo
    [J]. NATURE NEUROSCIENCE, 2013, 16 (09) : 1315 - U207
  • [37] Broad Inhibition Sharpens Orientation Selectivity by Expanding Input Dynamic Range in Mouse Simple Cells
    Liu, Bao-hua
    Li, Ya-tang
    Ma, Wen-pei
    Pan, Chen-jie
    Zhang, Li I.
    Tao, Huizhong Whit
    [J]. NEURON, 2011, 71 (03) : 542 - 554
  • [38] Neural processing as causal inference
    Lochmann, Timm
    Deneve, Sophie
    [J]. CURRENT OPINION IN NEUROBIOLOGY, 2011, 21 (05) : 774 - 781
  • [39] Context-dependent computation by recurrent dynamics in prefrontal cortex
    Mante, Valerio
    Sussillo, David
    Shenoy, Krishna V.
    Newsome, William T.
    [J]. NATURE, 2013, 503 (7474) : 78 - +
  • [40] Neural noise can explain expansive, power-law nonlinearities in neural response functions
    Miller, KD
    Troyer, TW
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2002, 87 (02) : 653 - 659