BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CCN 2027 Calendar
BEGIN:VEVENT
UID:ccn-2027-deadline-full-paper-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270210T115900Z
DTEND:20270210T125900Z
SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027
  - 8-page paper abstract deadline (estimated)
DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc
 ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2026.ccneu
 ro.org/dates-and-deadlines/\nLocation: Edinburgh\, United Kingdom\nTopics
 : Computational Neuroscience\, Deep Representation Learning\, Neuroimagin
 g & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pr
 oceedings + extended abstracts\nConfidence: estimated\nLast checked date:
  2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates 
 remain prior-edition timing estimates until the 2027 CFP is released.\nSc
 ope: Cognitive computational neuroscience\, connecting experiments and mo
 dels of brain computation with artificial intelligence. Characteristic wo
 rk compares biological and artificial representations\, models perception
 \, cognition and action\, studies neural connectivity and dynamics\, and 
 uses mechanistic interpretability to understand neural-network models. Th
 e aim is understanding computation and behavior across brains and AI syst
 ems.\nAdditional topics: Cognitive Science & Computational Cognition\, Ex
 plainability & Interpretability\nScope sources (2027): https://2027.ccneu
 ro.org/\nScope last checked: 2026-10-07
URL:https://2026.ccneuro.org/dates-and-deadlines/
END:VEVENT
BEGIN:VEVENT
UID:ccn-2027-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270213T115900Z
DTEND:20270213T125900Z
SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027
  - 8-page full paper submission deadline (estimated)
DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc
 ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2026.ccneu
 ro.org/dates-and-deadlines/\nLocation: Edinburgh\, United Kingdom\nTopics
 : Computational Neuroscience\, Deep Representation Learning\, Neuroimagin
 g & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pr
 oceedings + extended abstracts\nConfidence: estimated\nLast checked date:
  2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates 
 remain prior-edition timing estimates until the 2027 CFP is released.\nSc
 ope: Cognitive computational neuroscience\, connecting experiments and mo
 dels of brain computation with artificial intelligence. Characteristic wo
 rk compares biological and artificial representations\, models perception
 \, cognition and action\, studies neural connectivity and dynamics\, and 
 uses mechanistic interpretability to understand neural-network models. Th
 e aim is understanding computation and behavior across brains and AI syst
 ems.\nAdditional topics: Cognitive Science & Computational Cognition\, Ex
 plainability & Interpretability\nScope sources (2027): https://2027.ccneu
 ro.org/\nScope last checked: 2026-10-07
URL:https://2026.ccneuro.org/dates-and-deadlines/
END:VEVENT
BEGIN:VEVENT
UID:ccn-2027-deadline-extended-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270403T115900Z
DTEND:20270403T125900Z
SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027
  - 2-page extended abstract submission deadline (estimated)
DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc
 ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2026.ccneu
 ro.org/dates-and-deadlines/\nLocation: Edinburgh\, United Kingdom\nTopics
 : Computational Neuroscience\, Deep Representation Learning\, Neuroimagin
 g & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pr
 oceedings + extended abstracts\nConfidence: estimated\nLast checked date:
  2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates 
 remain prior-edition timing estimates until the 2027 CFP is released.\nSc
 ope: Cognitive computational neuroscience\, connecting experiments and mo
 dels of brain computation with artificial intelligence. Characteristic wo
 rk compares biological and artificial representations\, models perception
 \, cognition and action\, studies neural connectivity and dynamics\, and 
 uses mechanistic interpretability to understand neural-network models. Th
 e aim is understanding computation and behavior across brains and AI syst
 ems.\nAdditional topics: Cognitive Science & Computational Cognition\, Ex
 plainability & Interpretability\nScope sources (2027): https://2027.ccneu
 ro.org/\nScope last checked: 2026-10-07
URL:https://2026.ccneuro.org/dates-and-deadlines/
END:VEVENT
BEGIN:VEVENT
UID:ccn-2027-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270726
DTEND;VALUE=DATE:20270730
SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027
  - Conference
DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc
 ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2027.ccneu
 ro.org/\nLocation: Edinburgh\, United Kingdom\nTopics: Computational Neur
 oscience\, Deep Representation Learning\, Neuroimaging & Brain Mapping\, 
 Machine Learning\nSize: M\nSubmission type: Mixed: proceedings + extended
  abstracts\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: 
 CCN confirms Edinburgh\, Jul 26-29. Submission dates remain prior-edition
  timing estimates until the 2027 CFP is released.\nScope: Cognitive compu
 tational neuroscience\, connecting experiments and models of brain comput
 ation with artificial intelligence. Characteristic work compares biologic
 al and artificial representations\, models perception\, cognition and act
 ion\, studies neural connectivity and dynamics\, and uses mechanistic int
 erpretability to understand neural-network models. The aim is understandi
 ng computation and behavior across brains and AI systems.\nAdditional top
 ics: Cognitive Science & Computational Cognition\, Explainability & Inter
 pretability\nScope sources (2027): https://2027.ccneuro.org/\nScope last 
 checked: 2026-10-07
URL:https://2027.ccneuro.org/
LOCATION:Edinburgh\, United Kingdom
END:VEVENT
END:VCALENDAR