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Peer-reviewedCC BYCell

Map of spiking activity underlying change detection in the mouse visual system

  • Corbett Bennett1,2
  • Samuel D. Gale1,2
  • Greggory R. Heller3,2
  • Tamina K. Ramirez4,2
  • Hannah Belski1,2
  • Alex T. Piet1,2
  • Omid A. Zobeiri5,2
  • Adam Amster6,2
  • Anton S. Arkhipov5,2
  • Alex Cahoon7,2
  • Shiella Caldejon1,2
  • Mikayla Carlson1,2
37 more authors
  • Linzy Casal7,2
  • Scott F. Daniel6,2
  • Colin Farrell7,2
  • Marina Garrett1,2
  • Ryan Gillis1,2
  • Conor Grasso7,2
  • Ben Hardcastle1,2
  • Ross Hytnen7,2
  • Tye Johnson1,2
  • Peter Ledochowitsch8,2
  • Quinn L’Heureux7,2
  • Dana Mastrovito1,2
  • Ethan G. McBride1,2
  • Ştefan Mihalaş1,2
  • Chris Mochizuki7,2
  • Christopher B. Morrison6,2
  • Chelsea Nayan7,2
  • Nhan-Kiet Ngo6,2
  • Kat North7,2
  • Douglas R. Ollerenshaw1,2
  • Ben Ouellette1,2
  • Paul Rhoads7,2
  • Kara Ronellenfitch6,2
  • Martin Schroedter7,2
  • Joshua H. Siegle1,2
  • Cliff Slaughterbeck7,2
  • David Sullivan9,2
  • Jackie Swapp1,2
  • Michael Taormina6,2
  • Wayne Wakeman7,2
  • Xana Waughman10,2
  • Allison Williford1,2
  • John W. Phillips7,2
  • Peter A. Groblewski1,2
  • Séverine Durand1,2
  • Christof Koch A7,2
  • Shawn R. Olsen11,2
11 affiliations
  1. 1Allen Institute/Neural Dynamics, Seattle, WA 98109, USA
  2. 2Allen Institute
  3. 3Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
  4. 4Department of Neuroscience, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University, New York, NY 10032, USA
  5. 5Allen Institute/Brain Health, Seattle, WA 98109, USA
  6. 6Allen Institute/Brain Science, Seattle, WA 98109, USA
  7. 7Allen Institute, Seattle, WA 98109, USA
  8. 8General Sense, Alachua, FL 32615, USA
  9. 9SIXTY D, Bend, OR 97702, USA
  10. 10University of Arizona College of Medicine, Tucson, AZ 85724, USA
  11. 11Allen Institute/Neural Dynamics, Seattle, WA 98109, USA. Electronic address: [email protected]
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Abstract

Visual behavior requires coordinated activity across hierarchically organized brain circuits. Understanding this complexity demands datasets that are both large-scale (sampling many areas) and dense (recording many neurons in each area). Here we present a database of spiking activity across the mouse visual system-including thalamus, cortex, and midbrain-while mice perform an image change detection task. Using Neuropixels probes, we record from >75,000 high-quality units in 54 mice, mapping area-, cortical layer-, and cell type-specific coding of sensory and motor information. Modulation by task-engagement increased across the thalamocortical hierarchy but was strongest in the midbrain. Novel images modulated cortical (but not thalamic) responses through delayed recurrent activity. Population decoding and optogenetics identified a critical decision window for change detection and revealed that mice use an adaptation-based rather than image-comparison strategy. This comprehensive resource provides a valuable substrate for understanding sensorimotor computations in neural networks.

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Cite

BibTeXRIS
BibTeX
@article{bennett2026spiking,
  title = {{Map of spiking activity underlying change detection in the mouse visual system}},
  author = {Corbett Bennett and Samuel D. Gale and Greggory R. Heller and Tamina K. Ramirez and Hannah Belski and Alex T. Piet and Omid A. Zobeiri and Adam Amster and Anton S. Arkhipov and Alex Cahoon and Shiella Caldejon and Mikayla Carlson and Linzy Casal and Scott F. Daniel and Colin Farrell and Marina Garrett and Ryan Gillis and Conor Grasso and Ben Hardcastle and Ross Hytnen and Tye Johnson and Peter Ledochowitsch and Quinn L’Heureux and Dana Mastrovito and Ethan G. McBride and Ştefan Mihalaş and Chris Mochizuki and Christopher B. Morrison and Chelsea Nayan and Nhan-Kiet Ngo and Kat North and Douglas R. Ollerenshaw and Ben Ouellette and Paul Rhoads and Kara Ronellenfitch and Martin Schroedter and Joshua H. Siegle and Cliff Slaughterbeck and David Sullivan and Jackie Swapp and Michael Taormina and Wayne Wakeman and Xana Waughman and Allison Williford and John W. Phillips and Peter A. Groblewski and Séverine Durand and Christof Koch A and Shawn R. Olsen},
  journal = {Cell},
  year = {2026},
  month = jul,
  doi = {10.1016/j.cell.2026.06.025},
  url = {https://doi.org/10.1016/j.cell.2026.06.025},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Map of spiking activity underlying change detection in the mouse visual system
AU  - Corbett Bennett
AU  - Samuel D. Gale
AU  - Greggory R. Heller
AU  - Tamina K. Ramirez
AU  - Hannah Belski
AU  - Alex T. Piet
AU  - Omid A. Zobeiri
AU  - Adam Amster
AU  - Anton S. Arkhipov
AU  - Alex Cahoon
AU  - Shiella Caldejon
AU  - Mikayla Carlson
AU  - Linzy Casal
AU  - Scott F. Daniel
AU  - Colin Farrell
AU  - Marina Garrett
AU  - Ryan Gillis
AU  - Conor Grasso
AU  - Ben Hardcastle
AU  - Ross Hytnen
AU  - Tye Johnson
AU  - Peter Ledochowitsch
AU  - Quinn L’Heureux
AU  - Dana Mastrovito
AU  - Ethan G. McBride
AU  - Ştefan Mihalaş
AU  - Chris Mochizuki
AU  - Christopher B. Morrison
AU  - Chelsea Nayan
AU  - Nhan-Kiet Ngo
AU  - Kat North
AU  - Douglas R. Ollerenshaw
AU  - Ben Ouellette
AU  - Paul Rhoads
AU  - Kara Ronellenfitch
AU  - Martin Schroedter
AU  - Joshua H. Siegle
AU  - Cliff Slaughterbeck
AU  - David Sullivan
AU  - Jackie Swapp
AU  - Michael Taormina
AU  - Wayne Wakeman
AU  - Xana Waughman
AU  - Allison Williford
AU  - John W. Phillips
AU  - Peter A. Groblewski
AU  - Séverine Durand
AU  - Christof Koch A
AU  - Shawn R. Olsen
PY  - 2026
DA  - 2026/07/01
JO  - Cell
DO  - 10.1016/j.cell.2026.06.025
UR  - https://doi.org/10.1016/j.cell.2026.06.025
AB  - Visual behavior requires coordinated activity across hierarchically organized brain circuits. Understanding this complexity demands datasets that are both large-scale (sampling many areas) and dense (recording many neurons in each area). Here we present a database of spiking activity across the mouse visual system-including thalamus, cortex, and midbrain-while mice perform an image change detection task. Using Neuropixels probes, we record from >75,000 high-quality units in 54 mice, mapping area-, cortical layer-, and cell type-specific coding of sensory and motor information. Modulation by task-engagement increased across the thalamocortical hierarchy but was strongest in the midbrain. Novel images modulated cortical (but not thalamic) responses through delayed recurrent activity. Population decoding and optogenetics identified a critical decision window for change detection and revealed that mice use an adaptation-based rather than image-comparison strategy. This comprehensive resource provides a valuable substrate for understanding sensorimotor computations in neural networks.
SN  - 0092-8674
SN  - 1097-4172
ER  -