RT @safa_bouabid: 🚨I’m excited to share that the first piece of my postdoc work with @MarkHowe72 is out! 🧵⬇️

RT @SWEBAGS_1: Save the date and join us for a webinar about cholinergic interneurons, hosted by the Swedish Basal Ganglia Society. We are….

RT @LinTianPhD: Registration for the 2025 @MPFNeuro Neurotechniques Course closes this Wednesday!. Co-directed by @Ryohei_Neuro & @denisejc….

RT @OxfordDPAG: Researchers given $6 million for ground-breaking research to tackle Parkinson’s. #dopamine #acetylcholine #astrocytes #Park….

RT @rlbrainseminar: Next meeting TODAY (Oct 24) at 12:15 PM in WAB 236! The speaker is Eleanor Brown (@elliesphere), a PhD student in the @….

RT @PrincetonNeuro: Last but not least, @MaiAnh_T from @BU_Tweets shares her work on "Spatially localized coordinated dynamics of striatum-….

If you're at SfN and interested in striatum-wide, cell-type specific calcium and neuromodulator dynamics during behavior there is still time to catch the posters of @ZichengZhang306 (PSTR173.09) and @elliesphere (PSTR227.14)!.

RT @yaochen20: Interested in understanding how the brain encodes and decodes biochemical signaling dynamics to orchestrate neuromodulator a….

Shoutout to the other co-authors and collaborators: Darcy Zi, @MaiAnh_T , @safa_bouabid, @Jack_W_Lindsey, Chinyere Godfrey-Nwachukwu, Aaquib Attarwala, Ashok Litwin-Kumar, @briandepasquale.

We propose that trajectory error signaling in striatal neuromodulator release provides information necessary to modulate learning and ongoing behavior in real time or across learning to appropriately guide animals to reach goals during landmark based navigation.

Acetylcholine signaling also encodes trajectory errors, but in an opposite direction and across more restricted striatum regions than dopamine, suggesting a unique role in driving switching or learning of negative associations.

A computational model of reinforcement learning reproduced key features of trajectory error signaling, suggesting a potential neural substrate for trajectory error generation in midbrain dopamine neurons.

Trajectory errors can be flexibly computed based on both the movement of the animal relative to the cue or the cue relative to the animal, and these computations occurred with different timing.

Trajectory errors are widespread but spatially organized across the striatum and positive and negative errors evolve over different time courses and across distinct but overlapping regions during learning.

We found that dopamine and acetylcholine signaling in the mouse striatum encodes ‘trajectory errors’, reflecting whether, and how fast, an animals’ ongoing locomotion is bringing them closer or further from goal locations, based on learned associations with specific cues.

Navigation requires animals to continually evaluate whether their ongoing trajectory is bringing them closer or further from their goals based on external landmarks. What are the neural signals that underlie the guidance and learning of cue-guided movement trajectories?.

Thrilled to announce the latest study from our lab, spearheaded by Ph.D student, Ellie Brown (@elliesphere)! See below for a summary of the main findings.

We propose that regional elevations in striatal acetylcholine drive plasticity necessary to erase learned associations of cues and action with reward, a key component of flexible, adaptive behavior.

We turned to our old friend dopamine and found dips that preceded acetylcholine increases in time and emerged very early during extinction, implicating an interplay between dopamine modulation and an unchanging excitatory drive on cholinergic interneurons.

Changes in glutamate release onto cholinergic interneurons could not explain the increases in acetylcholine during cue extinction, indicating that the signals likely emerge as a consequence of an intrastriatal mechanism, rather than from changes in an upstream region.