Invariant Representations of Visual Streams in the Spike Domain

نویسندگان

چکیده

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

Feature Representations for Neuromorphic Audio Spike Streams

Event-driven neuromorphic spiking sensors such as the silicon retina and the silicon cochlea encode the external sensory stimuli as asynchronous streams of spikes across different channels or pixels. Combining state-of-art deep neural networks with the asynchronous outputs of these sensors has produced encouraging results on some datasets but remains challenging. While the lack of effective spi...

متن کامل

The power of connectivity: Identity preserving transformations on visual streams in the spike domain

We investigate neural architectures for identity preserving transformations (IPTs) on visual stimuli in the spike domain. The stimuli are encoded with a population of spiking neurons; the resulting spikes are processed and finally decoded. A number of IPTs are demonstrated including faithful stimulus recovery, as well as simple transformations on the original visual stimulus such as translation...

متن کامل

the role of visual aids and translation in teaching vocabulary in est

the present study investigated the effect of the two vocabulary teaching techniques in est, namely the use of translation and the use of visual aids as two separate vocabulary teaching techniques. to answer the question of the study, a pretest (michigan test) was administered to the 58 randomly selected est students at khajeh nasiredin tusi university, faculty of mechanics. after the homogeneit...

15 صفحه اول

Streams, Stream Transformers and Domain Representations

We present a general theory for the computation of stream transformers of the form F : (R! B)! (T ! A), where time T and R, and data A and B, are discrete or continuous. We show how methods for representing topological algebras by algebraic domains can be applied to transformations of continuous streams. A stream transformer is continuous in the compact-open topology on continuous streams if an...

متن کامل

Efficient Learning of Domain-invariant Image Representations

We present an algorithm that learns representations which explicitly compensate for domain mismatch and which can be efficiently realized as linear classifiers. Specifically, we form a linear transformation that maps features from the target (test) domain to the source (training) domain as part of training the classifier. We optimize both the transformation and classifier parameters jointly, an...

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: Frontiers in Computational Neuroscience

سال: 2009

ISSN: 1662-5188

DOI: 10.3389/conf.neuro.10.2009.14.100