Josh Cashaback
@JCashaback
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Learning, Neuromechanics, Human Interactions, Open-Access Education Assistant Professor | @udbme | @UDelaware 🚴♂️🛶⚽
Newark, Delaware
Joined October 2017
Reading this one today!.The integrated control of decision and movement vigor:
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A very cool new finding from our lab! During a cooperative sensorimotor task, we show that involuntary visuomotor feedback responses reflect a representation of a partner. Led by the extremely talented, @SethSullivan_.
biorxiv.org
We have a remarkable ability to seamlessly and rapidly coordinate actions with others, from double dutch to dancing. Humans use high-level partner representations to jointly control voluntary...
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This project was a lot of fun to work on with a great team, including @Jan_Calalo, Truc Ngo, @SethSullivan_ @BuggelnJohn, @RakLokesh, Adam Roth, Mike Carter, @NEneeSW, @JCashaback.
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Finally, we were also able to provide an alternative interpretation of previous reaching behaviour in the literature by using our decision-making and movement model.
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We also found that considering both evidence accumulation and urgency (Trueblood model) was essential to explaining decision times.
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Across several experiments and computational modelling, we show that ongoing deliberation influences the online control of movement---following movement onset and prior to a decision.
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Past work in has provided brief snapshots of the deliberation process at movement onset (go-before-you-know paradigm) or the influence of a decision itself during movement (changes-of-mind). Yet it is unclear whether ongoing deliberation is expressed during online movement.
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We are excited to share our new paper that dives into how ongoing decision deliberation reflects ongoing movements: (/.A tour-de-force by the incredible @Jan_Calalo
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RT @slavov_n: bioRxiv has a dedicated section for negative results. Use it. Share negative results. Your colleagues will appreciate it. h….
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Neural space has very similar issues to the behavioural models in the 1990s (e.g., dimensionality reduction, dynamical systems theory/attractors), which are more observational than mechanistic.
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RT @JNeurophysiol: Find out why it's so hard to make decisions during time limits in this @UDelaware #ArticleinPress, #Indecision under tim….
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Nice paper, by Jeremy Wong. Energy and time trade-offs explain everyday human reaching movements:
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Indecisions are extremely common and can lead to catastrophic outcomes. Here we asked what gives rise to indecisive behaviour: A really nice set of experiments and modelling by the talented @SethSullivan_.
journals.physiology.org
Indecisive behavior can be catastrophic, leading to car crashes or stock market losses. Despite fruitful efforts across several decades to understand decision making, there has been little research...
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Finally out. I've been hoping for a paper like this on neural manifolds for quite some time. Congrats @fredericcrevec1 @hariteja11 !.
🚨Tweeprint by @hariteja11 for our work on neural population dynamics: we show that features of neural population activity during reaching emerge from a simple linear body-network system 🧵👇.
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RT @fredericcrevec1: 🚨Tweeprint by @hariteja11 for our work on neural population dynamics: we show that features of neural population activ….
biorxiv.org
Modern large-scale recordings have revealed that motor cortex activity during reaching follows low-dimensional dynamics, thought to reflect sensorimotor computations. However, the origin of these...
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RT @fredericcrevec1: Excerpt from longer exchange but this matters, also for committees/panels that use bib metric 👇.
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RT @LukeMillerNeuro: Feedback control undistorts body representations: A possible solution to the hand paradox. Ne….
osf.io
One of the most consistent findings in the study of body representation is that they are geometrically distorted. This finding is in contrast with human’s dexterity and fine motor skills, which are...
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