memory is not a single entity. it is a gift of mother nature, the ability of living organisms to retain and to utilize acquired knowl- edge. memory is precisely related to learning, in that memory in biolog- ical systems entails learning and that learning implies retention of such information. memory can be divided into multifaceted systems. the renaissance of encephalon compatible learning app...

Cattle encephalon glycoside and ignotin injection offers neural protection after cerebral apoplexy clinically, but the exact mechanism of the protective effect is unclear. We performed primary culture of neurons and astrocytes and simulated ischemic brain damage using AAPH and discussed the action mechanism of cattle encephalon glycoside and ignotin injection. Results showed that cattle encepha...

A study was made of glycine (Gly) and gamma-aminobutyric acid (GABA) receptors expressed in Xenopus oocytes injected with rat mRNAs isolated from the encephalon, midbrain, and brainstem of 18-day-old rat embryos. In oocytes injected with encephalon, midbrain, or brainstem mRNAs, the Gly-current amplitudes (membrane current elicited by Gly; 1 mM Gly) were respectively 115 +/- 35, 346 +/- 28, and...

Player-Compatible Equilibrium (PCE) imposes cross-player restrictions on the magnitudes of players' “trembles” onto different strategies. These capture idea that trembles correspond to deliberate experiments by agents who are unsure prevailing distribution play. PCE selects intuitive equilibria in a number examples where trembling-hand perfect equilibrium (Selten, 1975) and proper (Myerson, 197...

Sensory axons extend from the chick olfactory epithelium to the telencephalon well before the maturation of their target, the olfactory bulb. During a waiting period of several days, olfactory axons arrive and accumulate outside the CNS while the bulb differentiates beneath them. Semephorin-3A is expressed in the tel-encephalon during this period and has been proposed to prevent their entry int...

Reinforcement learning in complex environments is a challenging problem. In particular, the success of reinforcement algorithms depends on well-designed reward function. Inverse (IRL) solves problem recovering functions from expert demonstrations. this paper, we solve hierarchical inverse within options framework, which allows us to utilize intrinsic motivation A gradient method for parametrize...