Learning distributed representations with complementary components – A generative approximation framework for episodic memory encoding

Posted by dbos UCSD / Salk

Kavli Affiliate: Marcelo Mattar | Authors: Hao Liu, Marcelo Mattar and Sebastian Michelmann | Summary: Episodic memory must preserve detail while storing memories efficiently. We propose a framework of memory encoding in which generative neural network models approximate input through their frozen weights, yielding starting points from which the same weights can reinstate the input. […]


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A Composite Rest-Frame UV Spectrum of Galaxies at $5.7 < z < 6.9$: Ionization, Outflows, and Implications for Intergalactic Metal Enrichment

Posted by klaurent MIT

Kavli Affiliate: Robert Simcoe | Summary:We present a stacked JWST/NIRSpec spectrum of 104 galaxies at $λ_rm rest=1200unicodex20132000;mathrmmathringA$ to study nebular emission and absorption from the interstellar medium (ISM) and stellar winds. The sample is drawn from known [O III] emitters with mean redshift $z=6.50$, absolute UV magnitude $M_mathrmUV=-20.7$, and stellar mass $M_star=10^8.93;mathrmM_odot$. The stacked continuum […]


Continue.. A Composite Rest-Frame UV Spectrum of Galaxies at $5.7 < z < 6.9$: Ionization, Outflows, and Implications for Intergalactic Metal Enrichment

Local Analogs of Little Red Dots: Clues to the X-ray Weakness

Posted by klaurent Peking

Kavli Affiliate: Luis Ho | Summary:A major question about JWST’s little red dots (LRDs) at $zsim4-8$ is the origin of their apparent X-ray weakness. Even deep Chandra stacks yield only tentative detections or broad-band limits and cannot distinguish among super-Eddington accretion, intrinsic X-ray weakness, and Compton-thick (CT) obscuration. Local analogs offer a powerful complementary route. […]


Continue.. Local Analogs of Little Red Dots: Clues to the X-ray Weakness