Within-category representational stability through the lens of manipulable objects

نویسندگان

چکیده

Our ability to recognize an object amongst many exemplars is one of our most important features, and that putatively distinguishes humans from non-human animals potentially (current) computational artificial intelligence models. We can objects consistently regardless when we see them suggesting have stable representations across time different contexts. Importantly, little known about how replicate within-category time. Here, investigate neural stability by computing the similarity between representational geometries activity patterns for 80 images tools obtained on functional magnetic resonance imaging (fMRI) scanning days. show observable in regions span lateral ventral temporal cortex, inferior superior parietal premotor cortex – typically associated with tool processing visuospatial processing. then focus what kinds best explain within these regions. test those coming layers a convolutional network, perceived veridical visual find supporting stronger relationship higher-level visual/semantic replicability derived information. Within category may thus originate long-range cross talk category-specific (and this case strongly cortex) over more abstract, rather than veridical/lower-level, (sensorial) representations, perhaps service object-centered representations.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Visual Hand Primes and Manipulable Objects

In three experiments we assessed whether priming a hand shape activated motor information. Primes consisted of photographs of hands displaying one of three postures (precision, power, open hand). Targets consisted of photographs (Experiment 1 and 3) or words (Experiment 2) of objects, artifacts and natural kinds, manipulable with a precision (pencil) or with a power grip (bottle). Participants ...

متن کامل

Representational Shifts During Category Learning

Prototype and exemplar models form two extremes in a class of mixture model accounts of human category learning. This class of models allows flexible representations that can interpolate from simple prototypes to highly differentiated exemplar accounts. We apply one such framework to data that afford an insight into the nature of representational changes during category learning. While generall...

متن کامل

Representational specificity of within-category phonetic variation in the long-term mental lexicon.

This study examines the potential encoding in long-term memory of subphonemic, within-category variation in voice onset time (VOT) and the degree to which this encoding of subtle variation is mediated by lexical competition. In 4 long-term repetition-priming experiments, magnitude of priming was examined as a function of variation in VOT in words with voiced counterparts (cape-gape) and without...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Cortex

سال: 2021

ISSN: ['1973-8102', '0010-9452']

DOI: https://doi.org/10.1016/j.cortex.2020.12.026