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INSIGHT
@FET_Insight
Investigates Neural Replicator Hypothesis & Darwinian neurodynamics, from cell cultures & human psychology, to robotics & language communication
Joined April 2015
11
Following
23
Followers
86
Posts
INSIGHT
@FET_Insight
over 6 years ago
Awesome interview by our project coordinator Eörs Szathmáry - about the impact of INSIGHT to the advancement of research on neurodynamics and its applications on robotics!👇 https://t.co/4cx5vrAKA5
INSIGHT
@FET_Insight
over 9 years ago
We focus on how language evolves, what does the brain need and what social patterns are required
@lucsteels
@FET_Insight
INSIGHT
@FET_Insight
over 9 years ago
Undergraduates get involved with multielectrode array recording expts for third-year projects
@FET_Insight
INSIGHT
@FET_Insight
over 9 years ago
Trying to discover the (neuro-)computational processes that build and maintain linguistic structures
@lucsteels
@FET_Insight
Who to follow
FantastiCOF
@FantastiCOF_
Welcome to the twitter account of the @EUeic @FantastiCOF_ #HorizonEurope
INSIGHT
@FET_Insight
over 9 years ago
This paper introduces the Syntax Game, a language game for exploring the origins of syntactic structure
@FET_Insight
INSIGHT
@FET_Insight
over 9 years ago
The Syntax Game is a variant of the Naming Game but introduces more complex semantics
@FET_Insight
INSIGHT
@FET_Insight
over 9 years ago
The Syntax Game is a minimal language game for exploring how grammar can arise in a population of agents
@FET_Insight
INSIGHT
@FET_Insight
over 9 years ago
The Syntax Game is a game of reference similar to the Naming Game that studies syntax emergence
@FET_Insight
INSIGHT
@FET_Insight
over 9 years ago
The paper explored the hypothesis that usage-based grammar learning can be modelled as an insight problem solving process
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
The advantage of a simpler system is that the minimal characteristics of a language learner become more starkly visible
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
The activity of a network of neurons trained to encode a time interval can be used to train a naive network
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Sussex use micro-electrode arrays to store defined time intervals between activity of two neuronal populations
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Sussex train one set of hippocampal neurons to fire at a defined time interval after another set
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Structural synaptic plasticity is a mechanism that allows exploring a complex fitness landscape
@hpvladar
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Strongly couple neurons with structural synaptic plasticity can lead to self-organised criticality!
@hpvladar
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Strategies to build language can't use machine learning techniques bc lang is incremental and no training corpus available
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Selection of novel variation within brains plays an active role in learning and thinking
@hpvladar
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Search and impasse stages recur several times for the majority of participants during a classic insight task
@fedoranna
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Replicator equations show that learning and evolvability can be viewed as the same phenomenon
@hpvladar
@FET_Insight
INSIGHT
@FET_Insight
almost 10 years ago
Reflex learning provides a kind of mutation which facilitates the replication of the whole behavioural phase space
@FET_Insight
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